Enviar búsqueda
Cargar
Implementation of a Finite Element Model to Generate Synthetic data for Open Pit’s Dewatering
•
0 recomendaciones
•
57 vistas
IRJET Journal
Seguir
https://www.irjet.net/archives/V4/i12/IRJET-V4I12144.pdf
Leer menos
Leer más
Ingeniería
Denunciar
Compartir
Denunciar
Compartir
1 de 7
Descargar ahora
Descargar para leer sin conexión
Recomendados
DEEP PERCOLATION CHARACTERTISTICS VIA SOIL MOISTURE SENSOR APPROACH IN SAIGON...
DEEP PERCOLATION CHARACTERTISTICS VIA SOIL MOISTURE SENSOR APPROACH IN SAIGON...
IAEME Publication
Al33217222
Al33217222
IJERA Editor
D05721720
D05721720
IOSR-JEN
A05740104
A05740104
IOSR-JEN
Shyam 17 ag62r13_cycle3
Shyam 17 ag62r13_cycle3
Shyam Mohan Chaudhary
RUNOFF AND SEDIMENT YIELD
RUNOFF AND SEDIMENT YIELD
Shyam Mohan Chaudhary
LOWERING GROUNDWATER IN THE ARCHAELOGICAL BABYLON CITY USING UNDERGROUND DAMS
LOWERING GROUNDWATER IN THE ARCHAELOGICAL BABYLON CITY USING UNDERGROUND DAMS
IAEME Publication
Groundwater modelling (an Introduction)
Groundwater modelling (an Introduction)
Putika Ashfar Khoiri
Recomendados
DEEP PERCOLATION CHARACTERTISTICS VIA SOIL MOISTURE SENSOR APPROACH IN SAIGON...
DEEP PERCOLATION CHARACTERTISTICS VIA SOIL MOISTURE SENSOR APPROACH IN SAIGON...
IAEME Publication
Al33217222
Al33217222
IJERA Editor
D05721720
D05721720
IOSR-JEN
A05740104
A05740104
IOSR-JEN
Shyam 17 ag62r13_cycle3
Shyam 17 ag62r13_cycle3
Shyam Mohan Chaudhary
RUNOFF AND SEDIMENT YIELD
RUNOFF AND SEDIMENT YIELD
Shyam Mohan Chaudhary
LOWERING GROUNDWATER IN THE ARCHAELOGICAL BABYLON CITY USING UNDERGROUND DAMS
LOWERING GROUNDWATER IN THE ARCHAELOGICAL BABYLON CITY USING UNDERGROUND DAMS
IAEME Publication
Groundwater modelling (an Introduction)
Groundwater modelling (an Introduction)
Putika Ashfar Khoiri
Ann in water level prediction
Ann in water level prediction
Shyam Mohan Chaudhary
Briaud2001
Briaud2001
quangmaihuy
GSA 2015 - Computer Based Facies Simulations in Orebodies: Benefits, Drawback...
GSA 2015 - Computer Based Facies Simulations in Orebodies: Benefits, Drawback...
Mike Bingle-Davis
Modflow Nepal
Modflow Nepal
Paschimanchal campus, pokhara
New Approach of Prediction of Sidoarjo Hot Mudflow Disastered Area Based on P...
New Approach of Prediction of Sidoarjo Hot Mudflow Disastered Area Based on P...
Waqas Tariq
Water resource model modflow
Water resource model modflow
Manoj Patley
Ijirt148701 paper
Ijirt148701 paper
Mohammed Badiuddin Parvez
The detectability of free-phase migrating CO2
The detectability of free-phase migrating CO2
Rami Eid
Groundwater modeling
Groundwater modeling
Achmad Darul
Modeling Sediment Accumulation at Kenyir Reservoir Using GSTARS3
Modeling Sediment Accumulation at Kenyir Reservoir Using GSTARS3
ijceronline
Groundwater Modeling and GIS
Groundwater Modeling and GIS
Prof. A.Balasubramanian
Introduction to some basics
Introduction to some basics
mohull
B012270509
B012270509
IOSR Journals
75 76
75 76
INTERNATIONAL INDEXED,REFERRED,MULTILINGUAL,INTERDISCIPLINARY, MONTHLY RESEARCH JOURNAL
Geostatistical approach to the estimation of the uncertainty and spatial vari...
Geostatistical approach to the estimation of the uncertainty and spatial vari...
IOSR Journals
Well log analysis for reservoir characterization aapg wiki
Well log analysis for reservoir characterization aapg wiki
BRIKAT Abdelghani
Effect of Petrophysical Parameters on Water Saturation in Carbonate Formation
Effect of Petrophysical Parameters on Water Saturation in Carbonate Formation
IJERA Editor
2015-Ground water- dams Ikard
2015-Ground water- dams Ikard
Scott Ikard Ph.D., P.E.
Reservoir Characterization 062816
Reservoir Characterization 062816
Calvin Reppe
Al33217222
Al33217222
IJERA Editor
IPTC_12_2015
IPTC_12_2015
Xavier Ferrandis
Coupling_Basin_and_Reservoir_Simulators_for_an_Imp.pdf
Coupling_Basin_and_Reservoir_Simulators_for_an_Imp.pdf
Abassyacoubou
Más contenido relacionado
La actualidad más candente
Ann in water level prediction
Ann in water level prediction
Shyam Mohan Chaudhary
Briaud2001
Briaud2001
quangmaihuy
GSA 2015 - Computer Based Facies Simulations in Orebodies: Benefits, Drawback...
GSA 2015 - Computer Based Facies Simulations in Orebodies: Benefits, Drawback...
Mike Bingle-Davis
Modflow Nepal
Modflow Nepal
Paschimanchal campus, pokhara
New Approach of Prediction of Sidoarjo Hot Mudflow Disastered Area Based on P...
New Approach of Prediction of Sidoarjo Hot Mudflow Disastered Area Based on P...
Waqas Tariq
Water resource model modflow
Water resource model modflow
Manoj Patley
Ijirt148701 paper
Ijirt148701 paper
Mohammed Badiuddin Parvez
The detectability of free-phase migrating CO2
The detectability of free-phase migrating CO2
Rami Eid
Groundwater modeling
Groundwater modeling
Achmad Darul
Modeling Sediment Accumulation at Kenyir Reservoir Using GSTARS3
Modeling Sediment Accumulation at Kenyir Reservoir Using GSTARS3
ijceronline
Groundwater Modeling and GIS
Groundwater Modeling and GIS
Prof. A.Balasubramanian
Introduction to some basics
Introduction to some basics
mohull
B012270509
B012270509
IOSR Journals
75 76
75 76
INTERNATIONAL INDEXED,REFERRED,MULTILINGUAL,INTERDISCIPLINARY, MONTHLY RESEARCH JOURNAL
Geostatistical approach to the estimation of the uncertainty and spatial vari...
Geostatistical approach to the estimation of the uncertainty and spatial vari...
IOSR Journals
Well log analysis for reservoir characterization aapg wiki
Well log analysis for reservoir characterization aapg wiki
BRIKAT Abdelghani
Effect of Petrophysical Parameters on Water Saturation in Carbonate Formation
Effect of Petrophysical Parameters on Water Saturation in Carbonate Formation
IJERA Editor
2015-Ground water- dams Ikard
2015-Ground water- dams Ikard
Scott Ikard Ph.D., P.E.
Reservoir Characterization 062816
Reservoir Characterization 062816
Calvin Reppe
La actualidad más candente
(19)
Ann in water level prediction
Ann in water level prediction
Briaud2001
Briaud2001
GSA 2015 - Computer Based Facies Simulations in Orebodies: Benefits, Drawback...
GSA 2015 - Computer Based Facies Simulations in Orebodies: Benefits, Drawback...
Modflow Nepal
Modflow Nepal
New Approach of Prediction of Sidoarjo Hot Mudflow Disastered Area Based on P...
New Approach of Prediction of Sidoarjo Hot Mudflow Disastered Area Based on P...
Water resource model modflow
Water resource model modflow
Ijirt148701 paper
Ijirt148701 paper
The detectability of free-phase migrating CO2
The detectability of free-phase migrating CO2
Groundwater modeling
Groundwater modeling
Modeling Sediment Accumulation at Kenyir Reservoir Using GSTARS3
Modeling Sediment Accumulation at Kenyir Reservoir Using GSTARS3
Groundwater Modeling and GIS
Groundwater Modeling and GIS
Introduction to some basics
Introduction to some basics
B012270509
B012270509
75 76
75 76
Geostatistical approach to the estimation of the uncertainty and spatial vari...
Geostatistical approach to the estimation of the uncertainty and spatial vari...
Well log analysis for reservoir characterization aapg wiki
Well log analysis for reservoir characterization aapg wiki
Effect of Petrophysical Parameters on Water Saturation in Carbonate Formation
Effect of Petrophysical Parameters on Water Saturation in Carbonate Formation
2015-Ground water- dams Ikard
2015-Ground water- dams Ikard
Reservoir Characterization 062816
Reservoir Characterization 062816
Similar a Implementation of a Finite Element Model to Generate Synthetic data for Open Pit’s Dewatering
Al33217222
Al33217222
IJERA Editor
IPTC_12_2015
IPTC_12_2015
Xavier Ferrandis
Coupling_Basin_and_Reservoir_Simulators_for_an_Imp.pdf
Coupling_Basin_and_Reservoir_Simulators_for_an_Imp.pdf
Abassyacoubou
Effect Of Water On Slope Stability And Investigation Of ΝΝw Drainage Techniqu...
Effect Of Water On Slope Stability And Investigation Of ΝΝw Drainage Techniqu...
IJMER
Modelling study of jet metal interaction in ld process
Modelling study of jet metal interaction in ld process
eSAT Journals
Modelling study of jet metal interaction in ld process
Modelling study of jet metal interaction in ld process
eSAT Publishing House
Reservoir characterization technique based on geostatistical inversion method
Reservoir characterization technique based on geostatistical inversion method
iosrjce
Open channel flow velocity profiles for different
Open channel flow velocity profiles for different
eSAT Publishing House
Open channel flow velocity profiles for different reynolds numbers and roughn...
Open channel flow velocity profiles for different reynolds numbers and roughn...
eSAT Journals
H0372040043
H0372040043
inventionjournals
Evaluation Of Low Impact Developments (LID)
Evaluation Of Low Impact Developments (LID)
Dawit A. Melaku
Validation of Passive Microwave Remotely Sensed Soil Moisture (Amsr-E) Produc...
Validation of Passive Microwave Remotely Sensed Soil Moisture (Amsr-E) Produc...
IJERA Editor
FEM based Seepage Analysis of Earth Dam
FEM based Seepage Analysis of Earth Dam
Md. Saidur Rahman
Effects of shale volume distribution on the elastic properties of reserviors ...
Effects of shale volume distribution on the elastic properties of reserviors ...
DR. RICHMOND IDEOZU
IRJET- Parameters Affecting the Clogging of Recharge Wells in Different Soil ...
IRJET- Parameters Affecting the Clogging of Recharge Wells in Different Soil ...
IRJET Journal
Use of UAV for Hydrological Monitoring
Use of UAV for Hydrological Monitoring
Salvatore Manfreda
design specification and problems of kuraz irrigation scheme
design specification and problems of kuraz irrigation scheme
tamasgenqmokonnin
E05833135
E05833135
IOSR-JEN
Identify saltwater intrusion in coastal aquifer
Identify saltwater intrusion in coastal aquifer
Putika Ashfar Khoiri
FLOODPLAIN HAZARD MAPPING AND ASSESSMENT OF RIVER KABUL USING HEC-RAS 2D MODEL
FLOODPLAIN HAZARD MAPPING AND ASSESSMENT OF RIVER KABUL USING HEC-RAS 2D MODEL
International Research Journal of Modernization in Engineering Technology and Science
Similar a Implementation of a Finite Element Model to Generate Synthetic data for Open Pit’s Dewatering
(20)
Al33217222
Al33217222
IPTC_12_2015
IPTC_12_2015
Coupling_Basin_and_Reservoir_Simulators_for_an_Imp.pdf
Coupling_Basin_and_Reservoir_Simulators_for_an_Imp.pdf
Effect Of Water On Slope Stability And Investigation Of ΝΝw Drainage Techniqu...
Effect Of Water On Slope Stability And Investigation Of ΝΝw Drainage Techniqu...
Modelling study of jet metal interaction in ld process
Modelling study of jet metal interaction in ld process
Modelling study of jet metal interaction in ld process
Modelling study of jet metal interaction in ld process
Reservoir characterization technique based on geostatistical inversion method
Reservoir characterization technique based on geostatistical inversion method
Open channel flow velocity profiles for different
Open channel flow velocity profiles for different
Open channel flow velocity profiles for different reynolds numbers and roughn...
Open channel flow velocity profiles for different reynolds numbers and roughn...
H0372040043
H0372040043
Evaluation Of Low Impact Developments (LID)
Evaluation Of Low Impact Developments (LID)
Validation of Passive Microwave Remotely Sensed Soil Moisture (Amsr-E) Produc...
Validation of Passive Microwave Remotely Sensed Soil Moisture (Amsr-E) Produc...
FEM based Seepage Analysis of Earth Dam
FEM based Seepage Analysis of Earth Dam
Effects of shale volume distribution on the elastic properties of reserviors ...
Effects of shale volume distribution on the elastic properties of reserviors ...
IRJET- Parameters Affecting the Clogging of Recharge Wells in Different Soil ...
IRJET- Parameters Affecting the Clogging of Recharge Wells in Different Soil ...
Use of UAV for Hydrological Monitoring
Use of UAV for Hydrological Monitoring
design specification and problems of kuraz irrigation scheme
design specification and problems of kuraz irrigation scheme
E05833135
E05833135
Identify saltwater intrusion in coastal aquifer
Identify saltwater intrusion in coastal aquifer
FLOODPLAIN HAZARD MAPPING AND ASSESSMENT OF RIVER KABUL USING HEC-RAS 2D MODEL
FLOODPLAIN HAZARD MAPPING AND ASSESSMENT OF RIVER KABUL USING HEC-RAS 2D MODEL
Más de IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
Más de IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Último
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
ssuser89054b
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Booking
dharasingh5698
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
JiananWang21
chapter 5.pptx: drainage and irrigation engineering
chapter 5.pptx: drainage and irrigation engineering
mulugeta48
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power Play
Epec Engineered Technologies
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
roncy bisnoi
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torque
BhangaleSonal
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
Call Girls in Nagpur High Profile Call Girls
Thermal Engineering Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
DineshKumar4165
Unit 2- Effective stress & Permeability.pdf
Unit 2- Effective stress & Permeability.pdf
RagavanV2
A Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna Municipality
Morshed Ahmed Rahath
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
Kamal Acharya
Call Girls Wakad Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Wakad Call Me 7737669865 Budget Friendly No Advance Booking
roncy bisnoi
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
JIT KUMAR GUPTA
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Arindam Chakraborty, Ph.D., P.E. (CA, TX)
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
9953056974 Low Rate Call Girls In Saket, Delhi NCR
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
Call Girls in Nagpur High Profile Call Girls
Design For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the start
Quintin Balsdon
Call Girls in Netaji Nagar, Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Netaji Nagar, Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
9953056974 Low Rate Call Girls In Saket, Delhi NCR
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
amitlee9823
Último
(20)
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Booking
VIP Call Girls Palanpur 7001035870 Whatsapp Number, 24/07 Booking
data_management_and _data_science_cheat_sheet.pdf
data_management_and _data_science_cheat_sheet.pdf
chapter 5.pptx: drainage and irrigation engineering
chapter 5.pptx: drainage and irrigation engineering
Standard vs Custom Battery Packs - Decoding the Power Play
Standard vs Custom Battery Packs - Decoding the Power Play
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Pimpri Chinchwad Call Me 7737669865 Budget Friendly No Advance Boo...
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torque
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
(INDIRA) Call Girl Bhosari Call Now 8617697112 Bhosari Escorts 24x7
Thermal Engineering Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
Unit 2- Effective stress & Permeability.pdf
Unit 2- Effective stress & Permeability.pdf
A Study of Urban Area Plan for Pabna Municipality
A Study of Urban Area Plan for Pabna Municipality
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
ONLINE FOOD ORDER SYSTEM PROJECT REPORT.pdf
Call Girls Wakad Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Wakad Call Me 7737669865 Budget Friendly No Advance Booking
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
Call Now ≽ 9953056974 ≼🔝 Call Girls In New Ashok Nagar ≼🔝 Delhi door step de...
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
(INDIRA) Call Girl Meerut Call Now 8617697112 Meerut Escorts 24x7
Design For Accessibility: Getting it right from the start
Design For Accessibility: Getting it right from the start
Call Girls in Netaji Nagar, Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls in Netaji Nagar, Delhi 💯 Call Us 🔝9953056974 🔝 Escort Service
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Call Girls In Bangalore ☎ 7737669865 🥵 Book Your One night Stand
Implementation of a Finite Element Model to Generate Synthetic data for Open Pit’s Dewatering
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 751 Implementation of a Finite Element Model to generate synthetic data for open pit’s dewatering Sage NGOIE1, Adalbert Mbuyu2, Jean Felix Kabulo3, Albert Kalau4 1Philosophiae Doctor, IGS, University of the Free State, Republic of South Africa 2Junior Lecturer, Dept. of Geology, University of Kolwezi, Dem. Rep. of Congo 3Junior Lecturer, Dept. of Geology, University of Likasi, Dem. Rep. of Congo 4Lecturer, Dept. of geology and mining engineering, ISTA Kzi, Dem. Rep. of Congo ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Synthetic data have long been employed in geohydrology for model development and testing. The objective of this chapter is to generate a synthetic data set of geohydrological responses in an open pit environment. This data set will be used to represent real data that could be recorded at an open pit mine. The synthetic data set is generated by using a numerical model. In the model, different pumping scenarios are considered. The model uses nine observation points (piezometers) and three, six, nine and 12 pumping wells in the four different pumping scenarios. The purpose of the pumping wells is to dewater the open pit under different pumping conditions. The response of the aquifer to these different pumping scenarios is examined. Key Words: Finite Elements Methods; Synthetic data; Dewatering; Open pit mine. 1. INTRODUCTION Synthetic data have long been employed in geohydrologyfor model development and testing. The objective of this paper is to generate a synthetic data set of hydrogeological responses in an open pit environment. This data set can be used to represent real data that could be recordedatanopen pit mine. The synthetic data set is generated by using a numerical model. In the model, different pumping scenarios are considered. The model uses nine observation points (piezometers) and three, six, nine and 12 pumping wells in the four different pumping scenarios. The purpose of the pumping wells is to dewater the open pit under different pumping conditions. The response of the aquifer to these different pumping scenarios is examined. 2. MODEL DESCRIPTION Aquifers are complex and not often directly visible. For better understanding these aquifers for modellingpurposes, they have to be represented by simplified versions in the form of conceptual models. The conceptual model may influence the choice of numericalmethodusedforsimulating the behaviour of the aquifers. For example, a conceptual model with complex aquifer boundaries may have to be modelled using FEM instead of FDM, since the rectangular cells used in FDM do not allow for adequate refinement of the modelling grid. If the conceptual model gives an accurate representation of the real aquifer, the numerical model will also be more accurate (Anderson and Woessner, 1992). The conceptual model of the current investigation includes information on the pit geometry, geomorphology, rainfall, surface water bodies, and aquifer units as derived from the geological layers. 2.1 Geometry of the modelled open pit mine The modelled open pit mine is assumed to be excavated in a sedimentary deposit with the top and bottom elevations at 1 250 mamsl and 1 166 mamsl, respectively. The plan view of the pit can be compared to a smooth closedcurve,whichis symmetric about its centre with the transverse, and conjugate diametersof 880 m and 370 m, respectively(refer to Fig-1). The mine is exclusively excavated in the first geologicallayer (dolomite), which is 160 m thick. The pit is assumed to be excavated in an unconfined aquifer, since it is assumed that water in the voids and fractures of the dolomite is in contact with the atmosphere and is therefore under atmospheric pressure. The vertical distance between the highest point on the perimeter of the pit and the pit floor is 84 m. The pit hasnine benches with an average bench height of 9.3 m (see fig-2). 2.2 Topography and hydrography of the modelled area The general topography of the region is gentle. The pre- mining topography shown in fig-3 is an existing topography of a tropical area in the Democratic Republic ofCongo(DRC). This particular area was chosen because of the variation in the surface topography (higher elevations in the southwestern parts and lower elevationsinthenortheastern parts). Since groundwater elevations generally emulate the surface topography, topographic gradients are often also associated with hydraulic gradients and thus with groundwater movement (Haitjema and Mitchell-Bruker, 2005). In this research, it is, therefore, assumed that the
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 752 groundwater flows in the direction of the topographic gradient. Fig - 1: Plan view of the open pit of the model Fig - 2: Cross-section through the open pit of the model Fig - 3: Pre-mining topography of the model The open pit is located on the watershed between two catchments, each catchment drained by a river flowingfrom south-west to north-east. These two rivers are simulated as constrained head boundaries. The constrained heads were assigned valuesthat ensure a gradient in the direction ofthe river flow (down-gradient, according to the ground topography). It wasfurther assumed that the waterfromthe river infiltrates the aquifer at a constant rate of 30 m3/h. This latter infiltration rate was chosen because it was observed by Norris (1983) in the Scioto River in south- central Ohio (from 0.06 to 0.19 million gallons per day for one acre) and also in the Dipeta River in the Democratic Republic of Congo (30 m3/h for a river with a length of 1.3 km and a width of 3 m). Based on the topography of the model, some of the surface runoff drains directly into the open pits. Such runoff water could pose problems to the management of surface water at real mines. However, in this paper, surface runoff water entering the pit will not be considered in the synthetic model, since the aim is to model pit dewatering by using abstraction wells. 2.3 Geometry of the groundwater model The model domain is 1 126 m long, 574 m wide and 240 m high. Asshown in fig-4 , the geology of the regionis assumed to be sub-horizontal, consisting of only two layers, namely:a dolomite layer (160 m thick), overlying a shale layer (80 m thick). No prominent tectonic features, such as faults, occur within the model domain. The open pit mine is excavated exclusively in the dolomite layer to depth of 84 m. 2.4 Hydraulic parameters In fig-4 , the spatial distribution of the hydraulicparameters is shown. It is seen that these parametersare directlyrelated to the geological units, and that these parameters do not vary within the geological units. As indicated in Table-1, the hydraulic conductivity is the only hydraulic parameter that differsfor the two layersin the model. It is also seen that the vertical hydraulic conductivities (KZZ) of the layers are significantly smaller than the horizontal hydraulic conductivities (KXX and KYY). These hydraulic conductivity values are based on the work of Morris and Johnson (1967) who conducted studies on the hydraulic parameters of several rock types. The specific storages, and the specific yields of the two layers are taken as the default values for dolomites and shales, as defined in the software. Table 1: Hydraulic parameters of the synthetic model 2.5 Recharge The main recharge of the aquifer is through rainfall. The mean annual rainfall (MAR) in the modelled area is assumed to be 1 200 mm, corresponding to the rainfall figures in a tropical climate. A large percentage of the rainfall flows to rivers as runoff. In Feflow, rainfall is modelled as aerial groundwater recharge by using sink/source formulations. Recharge values for carbonate rocks such as limestone and dolomite range from three to 10% (MWR, 2009). This boundary condition was applied to the top of the first geological layer of the numericalmodel.Rechargecalculation
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 753 is then performed automatically according to the hydrogeological parameters (permeability, storativity, etc.) of the layers in the model. 2.6 Dewatering and observation wells While performing the dewatering simulations, the behavior of the aquifer will be observed at nine observation points (OBS_1 to OBS_9) spatially distributed as shown in fig-5. Monitoring point OBS_9 is used to evaluate the water elevation according the bottom of the pit because it is located right in the middle of the pit. Four dewatering scenarios will be run with three, six, nine and twelve dewatering wells. The dewatering wellsare numberedBH_1 to BH_12. Fig - 4: The synthetic model set up with hydraulic conductivity distribution Fig - 5: Spatial distribution of observation points and dewatering well 2.7 Boundary conditions The base of the model (the bottom of the shale layer) is assumed impermeable. The numerical model used in this study incorporates the following boundary conditions: - Recharge (3 to 10% of the MAR) is represented by areal fluxes applied at the top slice of the synthetic model (the top of the dolomite layer); - The well boundary conditions applied to the dewatering wells describes the impact of water abstraction at a single node in m3/d; - Themodel assumesthat the riversandgroundwater are in dynamic connection.Hydraulicheadboundary condition with flow-rate constraints were used for definition of rivers. - Constant head boundary conditions are assigned to the boundariesof the modeldomain.Theseconstant heads were determined by considering the surface topography at the boundaries. 3. MODEL DEVELOPMENT 3.1 Model package The finite element software Feflow® v6.2 from DHI-WASY wasused to simulate the behavior of groundwater. Feflowis a three dimensional finite element package able to simulate unsaturated and saturated flow. It also has a mesh generation method which allows for flexible and quick editing of the model. This code allows rapid execution, development and analysis of the model (Diersch, 2004). The capabilitiesof Feflow to interact with ArcGIS (ESRI)and spreadsheets is one of the important features of this software. Its flexibility is the reasons why it is one of the modelling packagespreferred by scientists (Knapton,2009). 3.2 Spatial discretization The discretization of the model is done with the Feflow® package. Meshes are generated by applying the automatic triangle algorithm (Shewchuk, 2002). This algorithm is very versatile and extremely fast, and can deal with complex geometrical setups of polygons, lines, and points. The mesh of the current model has 169 386 elements with 84 873 nodes. The regional mesh was refined in the synthetic model using the Mesh Geometry Editor. The resulting mesh used in the modelling is presented in fig-6. 3.3 Model settings The synthetic model assumed saturated and unconfined conditions, and also assumed only groundwater flow (not masstransport). The total duration of the modelling wasfor a period of 5 months, from 01/01/2015 to 01/06/2015. Fig - 6: Finite element mesh used in the synthetic model
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 754 3.4 Dewatering strategy and model results a. Pre-mining groundwater levels The natural pre-mining hydraulic gradient in the vicinity of the pit is shown in fig-7. It can be seen that under natural conditions, the groundwater generally flows from south- west to northeast within the model domain. Fig - 7: Pre-mining hydraulic heads within the model domain b.Static groundwater levels after mining After excavating the pit, and allowing equilibrium (static) conditions to be reached, the bottom level of the mine is located at an elevation of 1 166 mamsl, while the highest hydraulic head within the model domain is at 1 200 mamsl. Fig - 8 shows the water elevations in all the observation wellsunder static (no groundwater abstraction) conditions. Asexpected, all the wellsdisplay constant heads (horizontal lines), because, under static conditions, thewatertableisnot impacted by dewatering. The difference betweenthehighest (OBS_1) and lowest (OBS_9) hydraulic heads at the observation wells is 8 m within the boundary of the model, as shown in fig-8. Fig - 8: Modelled hydraulic heads of the observation wells when no abstraction takes place Under conditions of no abstraction, a pit lake occurs with a water elevationof 1 195.58 mamsl (adepthofapproximately 30 m as measured from the bottom of the pit), as shown in Fig - 9. Fig - 9: East-west profile of the pit for the model at initial conditions c. Dewatering using three abstraction wells One or more dewatering strategiescould be appliedtolower the water level. In this research, vertical pit boreholes are used in the dewatering strategy. Each borehole pumps at a constant rate of 300 m3/h. Four scenarios, taking into account three, six, nine and 12 dewatering wells, runningfor a 5-month abstraction period, were considered during the modelling of pit dewatering. To lower the water level, the first scenario consists of installing three wells (BH_1 to BH_3) along the iso- potentiometric line on the eastern ramp of the open pit in order to decrease the water inflow to the mine. After pumping commences on 01 January 2015, the water elevations at all the monitoring points decrease due to the formation of cones of depression around the abstraction wells (refer to fig-10). However, from 17 March 2015 (approximately two and a half months after pumping commenced) all observation points indicate stable water levels, as equilibrium conditions are attained. After simulating three dewatering wells pumping for 5 months, the water level in the pit lake decreased to an elevation of 1 191.6 mamsl, as shown by the fig-11. During the initial conditions, the water level at monitoring point OBS_9 was 1 195.6 mamsl. After simulating three wells pumping for 5 months, the water level in the lake dropped by approximately 4 m. The water in the pit lake then had a depth of 26 m. d.Dewatering using six abstraction wells With six dewatering wells (BH_1 to BH_6) in the model pumping for 5 months, the depth of the water in the pit lake was reduced to 7.8 meters (observation point OBS_9 in the pit had a water elevation of 1173.8 mamsl). Thewaterlevels in the observation wells during the 5-month period are shown in fig-12 while a cross-section through the pit showing the groundwater elevation is presented in fig-13. It can be seen that the pit is still flooded after 5 months of pumping from the six dewatering boreholes. Under these circumstances, it would therefore be difficult to re-start mining operations unless some additional dewatering wells are installed.
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 755 Fig - 10: Modelled hydraulic heads of the observation wells for the model using three dewatering wells Fig - 11: East-west profile of the pit for the model using three dewatering wells Fig - 12: Modelled hydraulic heads of the observation wells for the model using six dewatering wells Fig - 13: East-west profile of the pit for the model using six dewatering wells. e.Dewatering using nine abstraction wells The third scenario takes into account nine dewatering wells (BH_1 to BH_9). Abstracting water from these wellsovera5- month period reduced the water level of the pit lake (as observed at monitoring point OBS_9) to 1166.6 mamsl. The graphs of the water levels in the observation wells (fig-14) show that the impact of the dewatering for 5 months is significant, with a steep cone of depression around the boreholes, but that the water level in the pit is not reduced enough to allow the extraction of minerals under dry conditions. The water depth in the pit lake has now beenreducedtoonly 0.6 meters (see fig-15). Although this water level is low, it is still not possible to extract minerals without further dewatering procedures. Fig - 14: Modelled hydraulic heads of the observation wells for the model using nine dewatering wells Fig - 15: East-west profile of the pit for the model using nine dewatering wells f. Dewatering using 12 abstraction wells Since nine abstraction wellswere not able to dewater thepit completely, another modelling scenario with more abstraction wells is required. This scenario takes into account 12 dewatering wells to lower the water level up to one bench lower than the bottom of the pit. After 5 months of dewatering, the water level at OBS_9 in the pit stabilizesat 1151.2 mamsl (refer to fig-16). This elevation is 14.8 m below the bottom elevation of the pit floor.
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 756 A cross-section through the pit after 5 months of pumping with 12 abstraction wells is shown in fig-17 The groundwater level is now below the bottom of the pit and the extraction of minerals can commence. Fig - 16: Modelled hydraulic heads of the observation wells for the model using 12 dewatering wells Fig - 17: East-west profile of the pit for the model using 12 dewatering wells 4. DISCUSSION AND CONCLUSION In Fig - 18, the results of the different modelling scenarios are summarized by plotting the pit water level (OBS_9) against the number of abstraction wells used in the dewatering strategy. From this figure, it is clear that the different modelling scenarios had significantly different impacts on the groundwater and pit water levels. The modelresultsalso showed under which conditions complete dewatering ofthe pit will be attained. The model results provide valuable datasets of hydraulics heads measured against time for the different pumping scenarios. These synthetics data sets can be used for numerous purpose in hydrogeology and geotechnical engineering such as training, testing and validating Artificial Neural Networks for mining operation purposes. Fig - 18: Summary of the dewatering impact relative to the bottom of the pit REFERENCES [1] F. Abdulla, M. Al-Khatib, Z. Al-Ghazzawi, “Development of groundwater modeling for the AZROQ basin”, Environ Geol. 40(1/2):11–18, 2000. [2] M. Anderson and W. Woessner, “Applied Groundwater Modeling, Simulation of Flow and Convective Transport”, Academic San Diego, California, 1991. [3] K. Anthony, “An integrated surface – groundwater model of the Roper River Catchment, Northern Territory”, dept. of Natural resources, Env. Art and Sport, Australian gov. 69 p., 2009. [4] M. Bakker, “Simulating groundwater flow in multi aquifer systems with analytical and numerical Dupuit models”, J. Hydrol. 222, 55-64, 1999. [5] Carslaw and Jaeger, “Conduction of Heat in Solids. Oxford University”, 1959. [6] P. Domenico and F. Scwartz, “Physical and chemical hydrogeology”, second Edition, Wiley, 1998. [7] FemLab User Guide, “An introduction to FEMLAB’s Multiphysics modeling capabilities”, Burlington, 40p. 2015. [8] P. France, “Finite element analysis of three dimensional groundwater flowproblems”,J.Hydrol. , 21, 381-398, 1974. [9] M. Heinl and P. Brinkmann, “A groundwater model of the Nubian aquifer system”, Hydrol. Sci. J., 34:425–447, 1989. [10] H. Karahan and M. Ayvaz, “Transient groundwater modeling using spreadsheets”, Adv. Eng. Software: 36, 374-384, 2005.
7.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 757 [11] H. Karahan and M.Ayvaz,“Time-Dependent Groundwater Modeling Using Spreadsheet”, Computer applications in engineering education: 13, 192 -199, 2005. [12] L. Kipata, “Brittle tectonics in the Lufilian foldand- thrust belt and its foreland An insight into the stress field record in relation to moving plates (Katanga, DRC)”, PhD thesis KU Leuven, faculty of science, p.160, 2013. [13] D. Morris and A. Johnson, “Summary of hydrologic and physical properties of rock and soil materials asanalyzed by the HydrologicLaboratory of the U.S. Geological Survey”, U.S.GeologicalSurvey Water-Supply Paper 1839-D, 42p., 1967. [14] J. Shewchuk, “Delaunay refinement algorithms for triangular mesh generation”, Computational geometry: theory and application, Amsterdam, Volume 22: 21-74, 2002. [15] P. Wang and M. Anderson, “Introductionto Groundwater Modeling”, W. H. Freeman and Company, San Francisco. 237 pp., 1982. [16] P. Wang and Z. Chunmaio, “An efficient approach for successively perturbed groundwater models”, Adv. Water Res., 21: 499-508, 1998. [17] T. Winter, “The concept of hydrologic landscapes”, J. Am. Water Resources Assoc.: 37:335–349, 2001. [18] W. Woessner and M. Anderson,“Thehydro- malapropos and the ground water table”, Ground Water, vol. 40, no. 5, p. 465, 2002. BIOGRAPHIE Sage Ngoie was born in Democratic Republic of Congo. He obtained a degree in Geology and a Master’s Degree in Geotechnical and Hydrogeological Sciences. He holdsa PhD in Geohydrology from the University of the Free State in South Africa where he specialized in Artificial intelligence and mathematical modeling applied to groundwater.
Descargar ahora