The conventional and modern well test interpretation methods are an important tool in the petroleum engineer’s toolkit. Used in the exploration and discovery phase of a field, they are performed to determine the quality of a well or to permit estimation of producing rates at different producing pressures. However once a field enters the middle and later development phase, the reservoir flow environment grows increasingly complex and conventional or modern methods do not satisfy the needs of old field development and evaluation. Based on over 10 years of field and research experience, Streamline Numerical Well Test Interpretation Theory and Method provides an effective method for the determination of residual oil distribution for the middle and mature phases of a field.
One of the most advanced books available, the author explains the development history of well test theory, analyzes the limitation of modern well test interpretation method, and proposes the concept and framework of numerical well test. This is quickly followed by an introduction of basic principles and solution procedures of streamline numerical simulation theory and method. The book then systematically applies streamline numerical well test interpretation models to a multitude of reservoir types, ranging from single layer reservoir to multi-layer reservoirs. The book presents multi-parameter streamline numerical well test automatic match interpretation method based on double-population genetic algorithm, which lays the foundation to fast automatic match of numerical well test. The book introduces streamline numerical well test interpretation software with independent intellectual property right which is programmed based on the above theoretical studies.
1. Introduction 2. Chapter 1. Numerical Well Testing Interpretation Theory and Method 3. 1.1. Well testing overview 4. 1.2. Development history of well testing theory 5. 1.3. Limitations of modern well testing interpretation methods 6. 1.4. Essence of well testing interpretation 7. 1.5. Brief introduction to the numerical well testing method 8. 1.6. Chapter summary 9. Chapter 2. Streamline Numerical Simulation Theory and Method 10. 2.1. Overview of the streamline method 11. 2.2. Calculation procedures of streamline numerical simulator 12. 2.3. Discussion of time-step 13. 2.4. Streamline tracing 14. 2.5. Calculation of streamline parameters 15. 2.6. Streamline update 16. 2.7. Calculation of grid parameters 17. 2.8. Well processing method 18. 2.9. Chapter summary 19. Chapter 3. Streamline Numerical Well Testing Interpretation Model for a Single-Layer Sandstone Waterflooding Reservoir 20. 3.1. Building a streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 21. 3.2. Solution of the streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 22. 3.3. Calculation method of the streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 23. 3.4. Correctness verification of the streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 24. 3.5. Pressure response characteristics of the streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 25. 3.6. Chapter summary 26. Chapter 4. Streamline Numerical Well Testing Interpretation Model for a Multi-Layer Sandstone Waterflooding Reservoir 27. 4.1. The building of a streamline numerical well testing interpretation model for a multi-layer sandstone waterflooding reservoir 28. 4.2. Solution of the streamline numerical well testing interpretation model for a multi-layer sandstone waterflooding reservoir 29. 4.3. Pressure response characteristics of the streamline numerical well testing interpretation model for a multi-layer sandstone waterflooding reservoir 30. 4.4. Layering rate response characteristics of the streamline numerical well testing interpretation model for a multi-layer sandstone waterflooding reservoir 31. 4.5. Chapter summary 32. Chapter 5. Streamline Numerical Well Testing Interpretation Model under Complex Near-Well-Bore Conditions 33. 5.1. Streamline numerical well testing interpretation model of a partially perforated well 34. 5.2. Streamline numerical well testing interpretation model of the testing well with irregularly damaged zone 35. 5.3. Chapter summary 36. Chapter 6. Streamline Numerical Well Testing Interpretation Model for a Chemical Flooding Multi-Layer Sandstone Reservoir 37. 6.1. Streamline numerical well testing interpretation model for a polymer flooding multi-layer sandstone reservoir 38. 6.2. Solving methods of the streamline numerical well testing interpretation model for a polymer flooding multi-layer sandstone reservoir 39. 6.3. Pressure response characteristics of the streamline numerical well testing interpretation model for a polymer flooding multi-layer sandstone reservoir 40. 6.4. Streamline numerical well testing interpretation model for an alkaline/polymer combination flooding multi-layer sandstone reservoir and solving methods 41. 6.5. Comparative analysis of well testing pressure response characteristics with different flooding methods 42. 6.6. Chapter summary 43. Chapter 7. Streamline Numerical Well Testing Interpretation Model Considering Components 44. 7.1. Compositional model 45. 7.2. State equation and phase equilibrium 46. 7.3. Impes solution of the compositional model 47. 7.4. Streamline well testing interpretation model considering components 48. 7.5. Discrete of streamline well testing interpretation model considering components 49. 7.6. Component and saturation calculation along streamline 50. 7.7. Simulation example analysis 51. 7.8. Chapter summary 52. Chapter 8. Streamline Numerical Well Testing Interpretation Model for a Multi-Layer Reservoir in Double-Porosity Media 53. 8.1. Establishment of the streamline numerical well testing interpretation model for a multi-layer reservoir in double-porosity media 54. 8.2. Solving methods of the streamline numerical well testing interpretation model for a multi-layer reservoir in double-porosity media 55. 8.3. Pressure response characteristics of the streamline numerical well testing interpretation model for a multi-layer reservoir in dual-porosity media 56. 8.4. Chapter summary 57. Chapter 9. Streamline Numerical Well Testing Interpretation Model of a Horizontal Well 58. 9.1. Establishment of the streamline numerical well testing interpretation model of a horizontal well 59. 9.2. Solving methods of the streamline numerical well testing interpretation model of a horizontal well and verification 60. 9.3. Pressure response characteristics of the streamline numerical well testing interpretation model of a horizontal well 61. 9.4. Chapter summary 62. Chapter 10. Multi-parameter Streamline Numerical Well Testing Interpretation Method 63. 10.1. Numerical well testing automatic match interpretation theory and method 64. 10.2. Interpretation principle of double-population genetic algorithm 65. 10.3. Chapter summary 66. Chapter 11. Software Programming of Streamline Numerical Well Testing Interpretation 67. 11.1. Overview 68. 11.2. Introduction to software functions 69. 11.3. Chapter summary 70. Chapter 12. Field Application of Streamline Numerical Well Testing Interpretation Software 71. 12.1. Application case one 72. 12.2. Application case two 73. 12.3. Application case three 74. 12.4. Chapter summary 75. Bibliography 76. Index
The conventional and modern well test interpretation methods are an important tool in the petroleum engineer’s toolkit. Used in the exploration and discovery phase of a field, they are performed to determine the quality of a well or to permit estimation of producing rates at different producing pressures. However once a field enters the middle and later development phase, the reservoir flow environment grows increasingly complex and conventional or modern methods do not satisfy the needs of old field development and evaluation. Based on over 10 years of field and research experience, Streamline Numerical Well Test Interpretation Theory and Method provides an effective method for the determination of residual oil distribution for the middle and mature phases of a field.
One of the most advanced books available, the author explains the development history of well test theory, analyzes the limitation of modern well test interpretation method, and proposes the concept and framework of numerical well test. This is quickly followed by an introduction of basic principles and solution procedures of streamline numerical simulation theory and method. The book then systematically applies streamline numerical well test interpretation models to a multitude of reservoir types, ranging from single layer reservoir to multi-layer reservoirs. The book presents multi-parameter streamline numerical well test automatic match interpretation method based on double-population genetic algorithm, which lays the foundation to fast automatic match of numerical well test. The book introduces streamline numerical well test interpretation software with independent intellectual property right which is programmed based on the above theoretical studies.
1. Introduction 2. Chapter 1. Numerical Well Testing Interpretation Theory and Method 3. 1.1. Well testing overview 4. 1.2. Development history of well testing theory 5. 1.3. Limitations of modern well testing interpretation methods 6. 1.4. Essence of well testing interpretation 7. 1.5. Brief introduction to the numerical well testing method 8. 1.6. Chapter summary 9. Chapter 2. Streamline Numerical Simulation Theory and Method 10. 2.1. Overview of the streamline method 11. 2.2. Calculation procedures of streamline numerical simulator 12. 2.3. Discussion of time-step 13. 2.4. Streamline tracing 14. 2.5. Calculation of streamline parameters 15. 2.6. Streamline update 16. 2.7. Calculation of grid parameters 17. 2.8. Well processing method 18. 2.9. Chapter summary 19. Chapter 3. Streamline Numerical Well Testing Interpretation Model for a Single-Layer Sandstone Waterflooding Reservoir 20. 3.1. Building a streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 21. 3.2. Solution of the streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 22. 3.3. Calculation method of the streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 23. 3.4. Correctness verification of the streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 24. 3.5. Pressure response characteristics of the streamline numerical well testing interpretation model for a single-layer sandstone waterflooding reservoir 25. 3.6. Chapter summary 26. Chapter 4. Streamline Numerical Well Testing Interpretation Model for a Multi-Layer Sandstone Waterflooding Reservoir 27. 4.1. The building of a streamline numerical well testing interpretation model for a multi-layer sandstone waterflooding reservoir 28. 4.2. Solution of the streamline numerical well testing interpretation model for a multi-layer sandstone waterflooding reservoir 29. 4.3. Pressure response characteristics of the streamline numerical well testing interpretation model for a multi-layer sandstone waterflooding reservoir 30. 4.4. Layering rate response characteristics of the streamline numerical well testing interpretation model for a multi-layer sandstone waterflooding reservoir 31. 4.5. Chapter summary 32. Chapter 5. Streamline Numerical Well Testing Interpretation Model under Complex Near-Well-Bore Conditions 33. 5.1. Streamline numerical well testing interpretation model of a partially perforated well 34. 5.2. Streamline numerical well testing interpretation model of the testing well with irregularly damaged zone 35. 5.3. Chapter summary 36. Chapter 6. Streamline Numerical Well Testing Interpretation Model for a Chemical Flooding Multi-Layer Sandstone Reservoir 37. 6.1. Streamline numerical well testing interpretation model for a polymer flooding multi-layer sandstone reservoir 38. 6.2. Solving methods of the streamline numerical well testing interpretation model for a polymer flooding multi-layer sandstone reservoir 39. 6.3. Pressure response characteristics of the streamline numerical well testing interpretation model for a polymer flooding multi-layer sandstone reservoir 40. 6.4. Streamline numerical well testing interpretation model for an alkaline/polymer combination flooding multi-layer sandstone reservoir and solving methods 41. 6.5. Comparative analysis of well testing pressure response characteristics with different flooding methods 42. 6.6. Chapter summary 43. Chapter 7. Streamline Numerical Well Testing Interpretation Model Considering Components 44. 7.1. Compositional model 45. 7.2. State equation and phase equilibrium 46. 7.3. Impes solution of the compositional model 47. 7.4. Streamline well testing interpretation model considering components 48. 7.5. Discrete of streamline well testing interpretation model considering components 49. 7.6. Component and saturation calculation along streamline 50. 7.7. Simulation example analysis 51. 7.8. Chapter summary 52. Chapter 8. Streamline Numerical Well Testing Interpretation Model for a Multi-Layer Reservoir in Double-Porosity Media 53. 8.1. Establishment of the streamline numerical well testing interpretation model for a multi-layer reservoir in double-porosity media 54. 8.2. Solving methods of the streamline numerical well testing interpretation model for a multi-layer reservoir in double-porosity media 55. 8.3. Pressure response characteristics of the streamline numerical well testing interpretation model for a multi-layer reservoir in dual-porosity media 56. 8.4. Chapter summary 57. Chapter 9. Streamline Numerical Well Testing Interpretation Model of a Horizontal Well 58. 9.1. Establishment of the streamline numerical well testing interpretation model of a horizontal well 59. 9.2. Solving methods of the streamline numerical well testing interpretation model of a horizontal well and verification 60. 9.3. Pressure response characteristics of the streamline numerical well testing interpretation model of a horizontal well 61. 9.4. Chapter summary 62. Chapter 10. Multi-parameter Streamline Numerical Well Testing Interpretation Method 63. 10.1. Numerical well testing automatic match interpretation theory and method 64. 10.2. Interpretation principle of double-population genetic algorithm 65. 10.3. Chapter summary 66. Chapter 11. Software Programming of Streamline Numerical Well Testing Interpretation 67. 11.1. Overview 68. 11.2. Introduction to software functions 69. 11.3. Chapter summary 70. Chapter 12. Field Application of Streamline Numerical Well Testing Interpretation Software 71. 12.1. Application case one 72. 12.2. Application case two 73. 12.3. Application case three 74. 12.4. Chapter summary 75. Bibliography 76. Index
