Reactive Transport Modeling: Applications in Subsurface Energy and Environmental Problems

Teaches the application of Reactive Transport Modeling (RTM) for subsurface systems in order to expedite the understanding of the behavior of complex geological systems  This book lays out the basic principles and approaches of Reactive Transport Modeling (RTM) for surface and subsurface environments, presenting specific workflows and applications. The techniques discussed are being increasingly commonly used in a wide range of research fields, and the information provided covers fundamental theory, practical issues in running reactive transport models, and how to apply techniques in specific areas. The need for RTM in engineered facilities, such as nuclear waste repositories or CO2 storage sites, is ever increasing, because the prediction of the future evolution of these systems has become a legal obligation. With increasing recognition of the power of these approaches, and their widening adoption, comes responsibility to ensure appropriate application of available tools. This book aims to provide the requisite understanding of key aspects of RTM, and in doing so help identify and thus avoid potential pitfalls. Reactive Transport Modeling covers: the application of RTM for CO2 sequestration and geothermal energy development; reservoir quality prediction; modeling diagenesis; modeling geochemical processes in oil & gas production; modeling gas hydrate production; reactive transport in fractured and porous media; reactive transport studies for nuclear waste disposal; reactive flow modeling in hydrothermal systems; and modeling biogeochemical processes. Key features include: A comprehensive reference for scientists and practitioners entering the area of reactive transport modeling (RTM) Presented by internationally known experts in the field Covers fundamental theory, practical issues in running reactive transport models, and hands–on examples for applying techniques in specific areas Teaches readers to appreciate the power of RTM and to stimulate usage and application Reactive Transport Modeling is written for graduate students and researchers in academia, government laboratories, and industry who are interested in applying reactive transport modeling to the topic of their research. The book will also appeal to geochemists, hydrogeologists, geophysicists, earth scientists, environmental engineers, and environmental chemists.  INDICE: List of Contributors xv .Preface xix .Acknowledgements xxiii .1 Application of Reactive Transport Modeling to CO2 Geological Sequestration and Chemical Stimulation of an Enhanced Geothermal Reservoir 1Tianfu Xu, Hailong Tian and Jin Na .1.1 Introduction 1 .1.2 Fundamental Theories 2 .1.2.1 Governing Equations for Flow and Transport 2 .1.2.2 Equations for Chemical Reactions 3 .1.2.3 Solution Method for Transport Equations 6 .1.2.4 Solution Method for Mixed Equilibrium Kinetics Chemical System 7 .1.3 Application to CO2 Geological Storage (CGS) 8 .1.3.1 Overview of Applications in CGS 8 .1.3.2 Long Term Fate of Injected CO2 in Deep Saline Aquifers 10 .1.3.2.1 Brief Description of CO2 Storage Site in the Songliao Basin 10 .1.3.2.2 Conceptual Model 11 .1.3.2.3 Results and Discussion 14 .1.3.2.4 Summary and Conclusions 21 .1.3.3 Evolution of Caprock Sealing Efficiency after the Intrusion of CO2 26 .1.3.3.1 Introduction 26 .1.3.3.2 Geological Setting 27 .1.3.3.3 Conceptual Model 27 .1.3.3.4 Results and Discussion 32 .1.3.3.5 Concluding Remarks 44 .1.4 Reactive Transport Modeling for Chemical Stimulation of an Enhanced Geothermal Reservoir 45 .1.4.1 General Description 45 .1.4.2 Brief Description of the EGS Site in Songliao Basin 47 .1.4.3 Conceptual Model 47 .1.4.3.1 Geometry and Boundary Conditions 47 .1.4.3.2 Physical Parameters 48 .1.4.3.3 Initial Mineral Composition 48 .1.4.3.4 Water Chemistry 49 .1.4.3.5 Thermodynamic and Kinetic Parameters 49 .1.4.4 Results and Discussion 50 .1.4.4.1 HCl Preflush 50 .1.4.4.2 Mud Acid Main Flush 50 .1.4.5 Concluding Remarks 52 .1.5 Conclusions and Outlook 54 .Appendix A 55 .Acknowledgements 56 .References 56 .2 Modeling Reactive Transport in CO2 Geological Storage: Applications at the Site Scale and Near Well Effects 61P. Audigane, Irina Gaus and Fabrizio Gherardi .2.1 Introduction 61 .2.2 Short and Long term Predictive Simulations of Trapping Mechanisms 65 .2.2.1 Sandy Aquifer: Predictions of Long term Effects of Storage in Sleipner, North Sea, Norway 69 .2.2.2 Near well Effects in Saline Aquifers in Carbonate Formations: Carbonate Dissolution, Drying, and Salt Crystallization in the Dogger, Paris Basin 72 .2.2.3 Depleted Offshore Gas Field: Mixing with Methane K12B Field 77 .2.3 Studying CO2 Leakage and Well Integrity by Reactive Transport Modeling 80 .2.3.1 Near well Problem in the Paris Basin 81 .2.3.1.1 Weathering of Drilling Cement Prior to Injection 81 .2.3.1.2 Cement Reservoir Caprock Interface 84 .2.3.2 The Impact of CO2 Leakage on Groundwater 90 .2.4 Discussion and Conclusion 92 .References 98 .3 Process based Modelling of Syn depositional Diagenesis 107Fiona Whitaker and Miles Frazer .3.1 Introduction 107 .3.2 Fundamentals of Syn depositional Carbonate Diagenesis 108 .3.3 Understanding Syn depositional Diagenesis through RTM 111 .3.3.1 Marine Diagenesis 111 .3.3.2 Vadose Zone Diagenesis 113 .3.3.3 Freshwater Lens Diagenesis 116 .3.3.4 Mixing Zone Diagenesis 118 .3.4 Challenges in Reactive Transport Modelling of Syn depositional Diagenesis 120 .3.5 Coupled Forward Stratigraphic Diagenetic Models 124 .3.5.1 Stratigraphic Forward Models (SFMs) 124 .3.5.2 Carbonate Diagenesis and Sequence Stratigraphy 124 .3.5.3 Integrating Diagenesis into SFMs 1D and 2D Modelling 126 .3.5.4 3D Forward Stratigraphic Diagenetic Models (FSDMs) 128 .3.5.5 Application of CARB3D+ to Understanding Carbonate Sedimentation and Syn sedimentary Diagenesis 130 .3.5.5.1 Prediction of Sediment Distribution and Platform Architecture using CARB3D+ 131 .3.5.5.2 FSDM Simulation of Diagenetic Hydrozones 137 .3.5.5.3 FSDM Simulation of Diagenetic Processes 140 .3.6 Discussion and Conclusion 145 .Acknowledgements 148 .References 148 .4 Reactive Transport Modeling and Reservoir Quality Prediction 157Yitian Xiao and Gareth D. Jones .4.1 Fundamental Challenges in Reservoir Quality Prediction 157 .4.2 Reactive Transport Modeling Approach 164 .4.3 Modeling Dolomitization in Different Hydrogeological Systems 165 .4.3.1 Dolomitization and Impact on Carbonate Reservoir Quality: From Reservoir to Outcrop Observations 165 .4.3.2 Conceptual Hydrological Models of Dolomitization 168 .4.3.3 Geothermal Convection Models 171 .4.3.4 Mixing Zone Models 173 .4.3.4.1 Traditional Mixing Zone Model 173 .4.3.4.2 Ascending Freshwater Mesohaline Brine Mixing Model: La Molata Miocene Outcrop Case Study 175 .4.3.5 Reflux Dolomitization Models 177 .4.3.5.1 2D Simulations of Brine Reflux Dolomitization 177 .4.3.5.2 3D Simulations of Brine Reflux Dolomitization 181 .4.3.5.3 Brine Reflux Dolomitization Case Studies 189 .4.3.6 Fault Controlled Hydrothermal Models 195 .4.3.6.1 2D and 3D Conceptual HTD Models 196 .4.3.6.2 Fault controlled Dolomitization at the Benicassim Outcrop in Maestrat Basin, Spain 196 .4.3.7 Summary of Dolomite RTM Results 200 .4.4 Early Diagenesis in Isolated Carbonate Platforms 200 .4.5 Geothermal Convection and Burial Diagenesis 201 .4.5.1 Geothermal Convection and Reservoir Quality in Tengiz Field, Kazakhstan 202 .4.5.2 Geothermal Convection in South Atlantic Pre Salt Rift Carbonates 203 .4.6 Burial Diagenesis: Fault Controlled Illitization 208 .4.6.1 Illitization and Permeability Reduction in Rotliegendes Play, Germany 208 .4.6.2 1D and 2D Reactive Transport Models 208 .4.7 Diagenesis and Reservoir Alteration Associated with Oil and Gas Operations 211 .4.7.1 CO2 and Acid Gas Injection (AGI) in Siliciclastic and Carbonate Reservoirs 211 .4.7.2 Reactive Transport Model Setup 212 .4.7.3 Simulation Results: Injection in Siliciclastic Reservoirs 212 .4.7.3.1 Feldspar Rich Sandstone Reservoir 212 .4.7.3.2 Quartz Dominated Sandstone Reservoir 212 .4.7.4 Simulation Results: Injection in Carbonate Reservoirs 213 .4.7.4.1 Limestone Reservoir 213 .4.7.4.2 Dolomite Reservoir 215 .4.7.5 Summary of CO2 and Acid Gas Injection and Reservoir Alteration 216 .4.7.6 Reservoir Alteration from Steam and Acid Injection 218 .4.7.6.1 Case Study: RTM of Steam Flood in Eocene Carbonate Reservoir, Wafra Field 220 .4.8 The Present and Future Role of Reactive Transport Models for Reservoir Quality Prediction 221 .Acknowledgements 226 .References 227 .5 Modeling High Temperature, High Pressure, High Salinity and Highly Reducing Geochemical Systems in Oil and Gas Production 237Guoxiang Zhang, Jeroen Snippe, Esra Inan Villegas and Paul Taylor .5.1 Introduction 237 .5.2 Drivers of the Geochemical Reactions in 4 High Reservoirs During Oil and Gas Production 238 .5.2.1 High Temperature 238 .5.2.2 High Pressure 239 .5.2.3 Salinity, pH and Alkalinity 240 .5.2.4 Contrast in Redox Potential 240 .5.3 Typical Geochemical Processes in the 4 High Reservoir During HC Production and the Impacts on Production 242 .5.3.1 Scaling of Wells and Near Wellbore Formation Rocks by Carbonate Precipitation 242 .5.3.2 Well Scaling by Precipitation of Sulfate Minerals 243 .5.3.3 Scaling Due to Precipitation of Other Minerals 243 .5.3.4 Scaling Due to Combined Precipitation of Multiple Minerals, Solid Solution and/or Fines Migration 244 .5.3.5 Souring by Thermochemical Sulfate Reduction (TSR) during HC Production 245 .5.3.6 Souring by Bacterial Sulfate Reduction (BSR) During HC Production 247 .5.3.7 Scavenging An Overview of the Sulfur Mass Balance in the HC Reservoir During TSR or BSR 248 .5.3.8 Clay Swelling Due to Cation Exchange During Injection of Water 251 .5.3.9 Wellbore Cement Corrosion by Acid Attack from Formation Water/Brine 252 .5.4 Modeling Approaches and Numerical Simulators 255 .5.4.1 Gaps of the Simulators in the Oil and Gas Production Technology Community 255 .5.4.1.1 Scale Simulators 255 .5.4.1.2 Souring Simulators 255 .5.4.2 Clay Swelling Evaluation Approaches 256 .5.4.3 Reactive Transport Modeling Simulators Applicable to Petroleum Geochemical Systems 257 .5.4.4 Handling High Temperature 259 .5.4.5 Handling High Pressure 261 .5.4.6 Handling High Salinity 261 .5.4.7 Handling Highly Reducing Conditions 263 .5.4.8 Numerical Simulators Available for Modeling 4 High Reservoirs 264 .5.4.8.1 TOUGHREACT and TOUGHREACT PITZER 264 .5.4.8.2 PHREEQC based Simulators 265 .5.5 Applications of RTM in Evaluating Risks Related to Geochemical Processes in 4 High Reservoirs 266 .5.5.1 RTM Evaluation of Well and Reservoir Scaling and Clay Swelling During Waterflood 266 .5.5.1.1 Geological, Hydrogeological and Geochemical Setting 266 .5.5.1.2 RTM Setup using TOUGHREACT PITZER and Model Calibration 269 .5.5.1.3 Model Predicted Scaling Risk 272 .5.5.1.4 Model Predicted Clay Swelling Risk 272 .5.5.1.5 Summary and Limitations 276 .5.5.2 Modeling Reservoir Scaling and Souring by TSR During Waterflood 285 .5.5.2.1 Geochemical Setting 286 .5.5.2.2 Formation Brine Composition 286 .5.5.2.3 Geochemical Reactions Induced by Waterflood 288 .5.5.2.4 Temperature Dependent and Pressure Dependent Thermodynamic Data 289 .5.5.2.5 Handling Solid Reduced Sulfur (Pyrite or Pyrrhotite) Under Reduced Conditions 289 .5.5.2.6 TOUGHREACT RTM Phase 1: Screening Phase (Risk Screening) 291 .5.5.2.7 TOUGHREACT Validation Model, Phase 2: Anhydrite Leachability Experiment to Validate the Kinetic Parameters of Anhydrite Dissolution 293 .5.5.2.8 TOUGHREACT Validation Model, Phase 2: Evaluation Uncertainties in the TSR Rate Constant, Anhydrite Leachability, and Iron Chlorite Leachability 295 .5.5.2.9 TOUGHREACT RTM Phase 3: Prediction 298 .5.5.3 RTM Evaluation of Wellbore Cement Corrosion of a Legacy Well in CO2 and CO2/Acid Gas Storage 299 .5.5.3.1 Mineralogical Composition and Water Composition of the Wellbore Intervals 300 .5.5.3.2 Model Setup 300 .5.5.3.3 Modeled Wellbore Cement Corrosion Processes 302 .5.5.3.4 Sensitivity Studies 309 .5.6 Summary 311 .Acknowledgements 311 .References 312 .6 Multiphase Fluid Flow and Reaction in Heterogeneous Porous Media for Enhanced Heavy Oil Production 319Xinfeng Jia, Xiaohu Dong, Jinze Xu and Zhangxin Chen .6.1 Introduction 319 .6.1.1 Heavy Oil Reserve Distribution 319 .6.1.2 Current Exploitation Methods 319 .6.1.3 Potential in the Post Steam Injection Era 321 .6.1.3.1 Hybrid Steam Solvent Processes 321 .6.1.3.2 Steam Solvent Gas Co injection Processes 322 .6.1.4 Transport Equations 323 .6.2 Thermal Recovery Processes 324 .6.2.1 Modeling Assumptions 324 .6.2.2 Heat Transfer in SAGD 325 .6.2.2.1 Gravity Drainage in a Transition Zone 327 .6.2.2.2 Boundary Movement 327 .6.2.2.3 Boundary Position 327 .6.2.3 Heat Transfer in CSS 331 .6.2.4 Conductive and Convective Heat Transfer 334 .6.2.5 Multiple Phase Flow 334 .6.3 Hybrid Thermal Solvent Process 336 .6.3.1 Mass Transfer 336 .6.3.2 Coupled Heat and Mass Transfer 337 .6.3.3 SAGD vs. ES SAGD 338 .6.4 Thermal Solvent Gas Co injection Process 338 .6.4.1 PVT Behaviour 338 .6.4.2 MTFs Stimulation Process 341 .6.4.3 MTFs Assisted Gravity Drainage Process 342 .6.4.4 Recovery Mechanisms 344 .6.5 Uncertainty Analysis for Reservoir Heterogeneity 344 .6.5.1 Bottom Water 344 .6.5.2 Shale Barrier 346 .6.5.3 Lean Zones 346 .6.6 Conclusions 348 .6.7 Recommendations 349 .6.7.1 Effects of Non Condensable Gases on Heat and Mass Transfer 349 .6.7.2 Effects of Reservoir Heterogeneity on Heat and Mass Transfer 349 .Acknowledgements 349 .References 349 .7 Modeling the Potential Impacts of CO2 Sequestration on Shallow Groundwater: The Fate of Trace Metals and Organics and the Effect of Co injected H2S 353Liange Zheng and Nicolas Spycher .7.1 Introduction 353 .7.2 The Fate of Trace Metals and Organics in a Shallow Aquifer in Response to a Hypothetical CO2 and Brine Leakage Scenario 355 .7.2.1 Simulator 356 .7.2.2 Model Setup 356 .7.2.3 Geochemical Model 359 .7.2.4 Metal Release from CO2 and/or Brine Leakage 361 .7.3 Impact of Co injected H2S on the Quality of a Freshwater Aquifer 373 .7.3.1 The Simulator 377 .7.3.2 Model Setup 378 .7.3.3 Metal Mobilization under CO2+H2S Leakage 378 .7.4 Summary and Conclusion 381 .Appendix A 384 .Appendix B 387 .Acknowledgements 388 .References 388 .8 Modeling the Long term Stability of Multi barrier Systems for Nuclear Waste Disposal in Geological Clay Formations 395Francis Claret, Nicolas Marty and Christophe Tournassat .8.1 Introduction 395 .8.1.1 Geological Final Disposal of Radioactive Waste 395 .8.1.2 The Clay Concept 396 .8.1.3 How a Repository System Evolves in Time and Space 396 .8.1.4 Modeling How a Repository System Evolves 397 .8.2 Modeling Physical and Chemical Processes on Repository Scales 410 .8.2.1 Reactive Transport Modeling Principles 410 .8.2.1.1 Reactive Transport Constitutive Equations 410 .8.2.1.2 Geometry and Space Discretization 410 .8.2.1.3 Where Everything Takes Place: the Pore Space 411 .8.2.1.4 Kinetic and Thermodynamic Databases 411 .8.2.1.5 Initial Conditions 413 .8.2.2 Repository Material Properties 414 .8.2.2.1 Generalities 414 .8.2.2.2 Clay Materials 414 .8.2.2.3 Cement Materials 420 .8.2.2.4 Iron (Metals) 422 .8.2.2.5 Glass 423 .8.3 Literature Review 423 .8.3.1 Clay/Concrete Interactions 424 .8.3.2 Iron/Clay Interactions 426 .8.3.3 Clay/Iron/Atmosphere (O2) Interactions 427 .8.3.4 Glass Corrosion and its Interaction with Clay 428 .8.4 Recent Improvements and Future Challenges in the RTM Approach to Repository Systems 429 .8.4.1 Necessary Simplifications in the RTM Approach 429 .8.4.2 Modeling Diffusion in Porous Systems with Consideration of Electrostatic Effects 429 .8.4.3 Diffusion in Non saturated Conditions 430 .8.4.4 Two Phase Flow Models 431 .8.4.5 Water Consumption and Non saturated Conditions 432 .8.4.6 Reducing Porosity and Coupling with Transport Parameters 432 .8.4.7 Accounting for Material Heterogeneities 433 .8.4.8 Kinetics versus Local Equilibrium Calculations 433 .8.4.9 Modeling Glass Alteration in Clay rock Environments 434 .8.4.10 Coupling Mechanics and Chemistry 435 .Acknowledgements 436 .References 436 .9 Modeling Variably Saturated Water Flow and Multicomponent Reactive Transport in Constructed Wetlands 453Gunter Langergraber and Jirka im nek .9.1 Introduction 453 .9.2 The HYDRUS Wetland Module 455 .9.3 The CW2D and CWM1 Biokinetic Models 456 .9.3.1 CW2D Biokinetic Model 459 .9.3.1.1 Stoichiometric Matrix and Reaction Rates 459 .9.3.1.2 Model Parameters 459 .9.3.2 CWM1 Biokinetic Model 463 .9.3.2.1 Stoichiometric Matrix and Reaction Rates 463 .9.3.2.2 Model Parameters 466 .9.4 Simulation Results for Vertical Flow Constructed Wetlands Treating Domestic Wastewater 466 .9.5 Experiences and Challenges using Wetland Models 474 .9.5.1 Description of Water Flow 474 .9.5.2 Values of the Biokinetic Model Parameters and Influent Fractionation 475 .9.5.3 Clogging Model 477 .9.5.4 Models as CW Design Tools 479 .9.6 Summary and Conclusions 480 .References 481 .10 Reactive Transport Modeling and Biogeochemical Cycling 485Christof Meile and Timothy D. Scheibe .10.1 Introduction 485 .10.2 Reactive Transport Model Formulations 486 .10.3 The Representation of Microbes 488 .10.3.1 Implicit Presence of Microbes 488 .10.3.2 Explicit Representations 489 .10.3.2.1 Functional Populations 490 .10.3.2.2 Trait based Models 492 .10.3.2.3 Bottom up Approaches 492 .10.3.2.4 Metabolic Activity as Ecosystem Response 493 .10.3.2.5 Emerging Patterns 494 .10.4 Data Integration 495 .10.5 Linking Models Across Scales 497 .10.6 Summary and Outlook 501 .Acknowledgements 502 .References 502 .11 Effective Stochastic Model For Reactive Transport 511Alexandre M. Tartakovsky .11.1 Introduction 511 .11.2 Pore and Darcy Models for Transport with Bimolecular Reactions 515 .11.3 Langevin Advection Diffusion Reaction Model 520 .11.4 Parameterization of the Stochastic Model 521 .11.5 The Langevin Model for Multicomponent Reactive Transport 523 .11.6 Rayleigh Taylor Instability 528 .11.7 Summary and Conclusions 529 .Acknowledgement 530 .References 530 .Index 533 . 

• ISBN: 978-1-119-06000-0
• Editorial: Wiley–Blackwell
• Encuadernacion: Cartoné
• Páginas: 560
• Fecha Publicación: 18/04/2018
• Nº Volúmenes: 1
• Idioma: Inglés