Sanjib Chowdhury

Optimization and Business Improvement Studies in Upstream Oil and Gas Industry

• Gebundenes Buch

Produktbeschreibung

Delves into the core and functional areas in the upstream oil and gas industry covering a wide range of operations and processes

Oil and gas exploration and production (E&P) activities are costly, risky and technology-intensive. With the rise in global demand for oil and fast depletion of easy reserves, the search for oil is directed to more difficult areas - deepwater, arctic region, hostile terrains; and future production is expected to come from increasingly difficult reserves - deeper horizon, low quality crude. All these are making E&P activities even more challenging in terms of operations, technology, cost and risk. Therefore, it is necessary to use scarce resources judiciously and optimize strategies, cost and capital, and improve business performance in all spheres of E&P business.

Optimization and Business Improvement Studies in Upstream Oil and Gas Industry contains eleven real-life optimization and business improvement studies that delve into the core E&P activities and functional areas covering a wide range of operations and processes. It uses various quantitative and qualitative techniques, such as Linear Programing, Queuing theory, Critical Path Analysis, Economic analysis, Best Practices Benchmark, Business Process Simplification etc. to optimize
_ Productivity of drilling operations
_ Controllable rig time loss
_ Deepwater exploration strategy
_ Rig move time and activity schedule
_ Offshore supply vessel fleet size
_ Supply chain management system
_ Strategic workforce and human resource productivity
_ Base oil price for a country
_ Standardize consumption of materials
_ Develop uniform safety standards for offshore installations
_ Improve organizational efficiency through business process simplification

The book will be of immense interest to practicing managers, professionals and employees at all levels/ disciplines in oil and gas industry. It will also be useful to academicians,scholars, educational institutes, energy research institutes, and consultants dealing with oil and gas. The work can be used as a practical guide to upstream professionals and students in petroleum engineering programs.

Produktdetails

• Wiley Series on Oil and Gas Technology
• Verlag: Wiley / Wiley & Sons
• Artikelnr. des Verlages: 1W119100030
• 1. Auflage
• Seitenzahl: 336
• Erscheinungstermin: 15. August 2016
• Englisch
• Abmessung: 244mm x 159mm x 27mm
• Gewicht: 688g
• ISBN-13: 9781119100034
• ISBN-10: 1119100038
• Artikelnr.: 44035718

Autorenporträt

Sanjib Chowdhury is working in a major oil company and has over thirty years of experience in cross-functional areas of Strategic and Corporate Planning, Optimization and Business Improvement, HR and General Management in Upstream sector. He has held responsible positions and carried out many impressive work and studies in these areas - this book is a testimony of that. He holds B.Tech, M.Tech., and Ph.D. degrees in Industrial Engineering & Management all from Indian Institute of Technology, Kharagpur and published several technical papers in journals of repute.

Inhaltsangabe

Preface xv

About the Author xvii

Acknowledgments xviii

1 Optimization and Business Improvement Studies in Upstream Oil and Gas Industry: An Overview 1

1.1 Introduction, 1

1.2 E&P Activities and Processes, 2

1.3 Need for Optimization in Upstream Industry, 3

1.4 Importance of Creativity and Data Usability for Business Performance Improvement, 4

1.5 Overview of the Book, 5

Review Exercises, 8

References, 8

Further Reading, 9

2 Optimizing Productivity of Drilling Operations 11

2.1 Introduction, 11

2.2 A Brief Note on Drilling Operation and Cost, 12

2.3 Objectives, 15

2.4 Key Observations and Findings, 16

2.5 Human Factors, 21

2.6 Organizational Factors, 25

2.7 Technical Factors, 28

2.8 Benefits and Savings Potential, 32

2.9 Limitations of the Study and Scope for Further Work, 33

2.10 Conclusion, 33

Review Exercises, 35

References and Useful Links, 35

Further Reading, 36

3 A Diagnostic Approach to Optimize Controllable Rig Time Loss 37

3.1 Introduction, 37

3.2 Rig Time Loss and Nonproductive Drilling Time, 38

3.3 Objectives, 39

3.4 Observations, 39

3.5 Waiting on Materials, 42

3.6 Waiting on Decisions, 45

3.7 Waiting on Logging, 46

3.8 Equipment Repair Downtime, 49

3.9 Other Shutdown, 53

3.10 Waiting on Weather, 55

3.11 Conclusion and Scope for Improvement, 57

Review Exercises, 59

References, 59

Further Reading, 59

4 Optimizing G&G Strategies for Deepwater Oil and Gas Exploration 61

4.1 Introduction, 61

4.2 Objectives, 62

4.3 Methodology, 63

4.4 Optimization of G&G Evaluation Time in Deepwater Wells, 65

4.5 Economics of Acquiring LWD for Own Deepwater Rig, 70

4.6 Improve Accuracy of Geological Predictions, 73

4.7 Effect on Downhole Complications due to Variation in formation Pressure, 75

4.8 Slippage in Well Completion Time of Deepwater Wells, 78

4.9 Influence of People's Factors on the Success of Deepwater Exploration, 80

4.10 Benefits, 81

4.11 Limitations of the Study and Scope for Improvement, 81

4.12 Conclusion, 82

Review Exercises, 83

Further Reading, 84

5 Optimization of Offshore Supply Vessel Fleet Size Using Queuing Theory 85

5.1 Introduction and Background of the Problem, 85

5.2 Objectives, 86

5.3 Waiting Line Model: A Brief Note, 87

5.4 Formulation of the Model, 91

5.5 Results, 93

5.6 Limitations of the Model and Scope for Further Work, 96

5.7 Conclusion, 98

Review Exercises, 99

Appendices, 100

References, 101

Further Reading, 101

6 Standardizing Consumption of HSD, Cement, and Chemicals in Oil/Gas Wells and Rigs 103

6.1 Introduction, 103

6.2 Objectives, 104

6.3 Methodology, 104

6.4 Standardization of HSD Consumption, 105

6.5 Standardization of Oil Well Cement Consumption, 117

6.6 Standardization of Chemical Consumption, 124

6.7 Benefits and Scope for Improvement, 131

6.8 Conclusions, 132

Review Exercises, 134

Appendix, 135

Reference, 135

Further Reading, 135

7 Optimizing Rig Move Time and Activity Schedule Using Critical Path Analysis 137

7.2 Objectives, 139

7.3