Data Mining: Applications in the Petroleum Industry

Features

• Cover Type: Hard Cover with 222 pages
• Published by: Round Oak Publishing September 2003
• Written in: English
• ISBN 10 Number: 0967724813
• ISBN 13 Number: 978-0967724812
• Book Dimensions: 9.1 x 6.1 x 1 inches
• Weighs: 1.6 pounds

Book Description
The proliferation of data gathering technologies and instrumentation has led to the acquisition of great volumes of data whose interpretation using analytical mathematical approaches or history matching with numerical simulators is often unsuccessful, incomplete and invariably partially satisfying.

Data Mining is an evolving discipline which uses a series of modern tools to extract hidden relationships and influences embedded in the data. This data-driven analysis contrasts the knowledge-driven analysis of traditional engineering and scientific approaches. However, data mining is not supposed to replace knowledge. On the contrary, it is supposed to be a tool to aid in the quantification of relative influences and reveal their inter-connectivity.

This book, dealing with data mining in the petroleum industry, is a major step towards the understanding of the exceptionally complex influences of the inherently chaotic geology, lithology, geochemistry, fluid phase behavior, multiphase flow and other phenomena, affecting petroleum production and exploration.

About The Author
Georg Zangl is the Technical Director of Decision Team Software. With more than 11 years of experience, he has worked on the development of a special purpose numerical reservoir simulator, and most recently has been involved with the development of DECIDE! FOR OIL & GAS. He is the author of numerous scientific publications and has performed many reservoir engineering studies for companies throughout the world, including some of the largest fields in the Middle East (Gawhar, Safaniyah and others), the North Sea, and Continental Europe. He holds a MS in petroleum engineering from the Mining University Leoben, Austria. He lives with his wife and two children in Laxenburg, Austria.

Josef Hannerer is a reservoir engineer with the consulting group of Decision Team Software. He is a specialist in reservoir evaluation and multivariate statistical analysis. He has ten years of experience as a project manager in consulting businesses. Within his consulting work, he has performed full scale studies for companies throughout the world. He holds a MS degree in petroleum engineering from Mining University Leoben, Austria.

Reader Reviews
For years engineers have struggled to describe nature using closed form, analytic expressions. Now data mining gives us the ability to observe patterns in nature without regard to modeling the underlying physical system. The upstream oil and gas industry has been late to adopt artificial intelligence techniques for data mining, partly because no one source demystifies the topic. Here at last is a book that treats the subject from a petroleum engineering perspective, complete with case studies. The authors give an overview of data mining, talk about some of the tools available, and some simpler models before launching into a thorough examination of data mining in reservoir surveillance and reservoir modeling and forecasting. An excellent chapter on data preparation and quality control emphasizes the importance of this often overlooked aspect. Two case studies, one on permeability prediction from well logs and another on re-stimulation candidate selection, round out the book. The appendices treat data and databases as well as available data mining software. This book is an important addition to the body of knowledge available to petroleum engineers on the topic of data mining using artificial intelligence techniques, and should be in the library of anyone interested in the topic. The sections on fuzzy logic, self-organizing maps, and genetic algorithm optimization alone are worth the purchase price. Although the authors' company produces and markets one of the best purpose built software packages available for the E&P industry their treatment of the topics covered here is fair and balanced, and concentrates on concepts rather than specific tools. I highly recommend this book for anyone in the oil patch. Comment | | (Report this)