This book describes procedures for determining the total hydrocarbon (petroleum) resource or resource potential in a region. Statistical concepts and methods employed in petroleum resource assessment are the subject of the manuscript, extensively illustrated by numerous real case studies. Prof. Lee’s computer-aided Petroleum Information Management and Resource Evaluation System (PETRIMES) methodology has been adopted by governments around the world and by major multinational oil companies to perform resource assessment and to predict future oil and gas production. Though this methodology is so widely used, there is no “user’s guide” to it, and this book will be the definitive resource for PETRIMES users.
Unlock the secrets to accurately estimating petroleum resources with "Statistical Methods for Estimating Petroleum Resources" by P.J. Lee, a definitive guide to the internationally acclaimed PETRIMES methodology. Published by Oxford University Press in 2008, this illustrated hardcover edition provides invaluable insights into statistical concepts and methods crucial for petroleum resource assessment. This book is an essential resource for geologists, petroleum engineers, and anyone involved in the oil and gas industry or geological research. **A Deep Dive into Petroleum Resource Assessment:** Navigate the complexities of hydrocarbon resource estimation with clarity and precision. P.J. Lee, a leading expert in mathematical geology, presents a comprehensive framework for determining the total hydrocarbon (petroleum) resource or resource potential within a specific region. The book goes beyond theoretical explanations, offering numerous real-world case studies to illustrate the practical application of statistical methods. Whether you're assessing prospective basins or refining existing production forecasts, this book equips you with the knowledge and tools you need. **Mastering the PETRIMES Methodology:** At the heart of this book lies the Petroleum Information Management and Resource Evaluation System (PETRIMES), a computer-aided methodology pioneered by Prof. Lee. PETRIMES has been widely adopted by governments worldwide and major multinational oil companies for resource assessment and predicting future oil and gas production. This book serves as the long-awaited "user's guide" to PETRIMES, providing a detailed explanation of its underlying principles, statistical techniques, and practical implementation. Gain a competitive edge by mastering this powerful methodology and applying it to your own resource evaluation projects. Understand how the geological play concept is treated statistically and how geological risk is addressed within a mathematical framework. **For Professionals and Students Alike:** Whether you're a seasoned professional seeking to enhance your expertise or a student eager to delve into the intricacies of petroleum resource assessment, this book offers a wealth of knowledge and practical guidance. Its clear and concise writing style makes complex concepts accessible, while its rigorous approach ensures accuracy and reliability. Supplement your existing knowledge with statistical techniques for resource estimation. **Key Features:** * **Comprehensive Coverage:** Explore a wide range of statistical methods relevant to petroleum resource assessment. * **Real-World Case Studies:** Learn from numerous examples that demonstrate the practical application of statistical techniques. * **PETRIMES Expertise:** Gain in-depth knowledge of the Petroleum Information Management and Resource Evaluation System. * **Clear and Concise Explanations:** Understand complex concepts through accessible writing and illustrative examples. * **Illustrated Edition:** Enhance your understanding with visual aids and diagrams. This book is not just a theoretical treatise; it's a practical guide that empowers you to make informed decisions about petroleum resource development. Invest in your knowledge and unlock the potential of accurate resource assessment with "Statistical Methods for Estimating Petroleum Resources." Part of the *International Association for Mathematical Geology Studies in Mathematical Geology, 8* series.