Over the last two decades, earth modeling has become a major investigative tool for evaluating the potential of hydrocarbon reservoirs. Earth modelling must now face new challenges since petroleum exploration no longer consists in only investigating newly identified resources, but also in re-evaluating the potential of previously investigated reservoirs in the light of new prospecting data and of revised interpretations. Earth models incorporate a variety of different interpretations made on various types of data at successive steps of the modeling process. However, current modeling procedures provide no way to link a range of data and interpretations with a final earth model. For this reason, sharing and exchanging information about the model building process is at present a major difficulty. Recently, the term Shared Earth Modeling has been used for expressing the idea that earth models should be built in such a way that experts and end users can have access, at any time, to all the information incorporated into the model. This information does not only concern the data, but also the knowledge that geoscientists produce by interpreting these data. Accordingly, practical solutions must be studied for operating a knowledge-driven approach of Shared Earth Modeling. This is the goal of this book. This study of earth subsurface modeling is intended for several categories of readers. It concerns in the first place geologists, engineers and managers involved in the study and evaluation of subsurface reservoirs and hydrocarbon exploration. Relying on recent progress in various fields of computer sciences, the authors present innovative solutions for solving the critical issue of knowledge exchange at key steps of the modeling process. This book will also be of interest to researchers in computer science and, more generally, to engineers, researchers and students who wish to apply advanced knowledge-based techniques to complex engineering problems.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Introduction :
Goals and organisation of this book
This study of earth subsurface modeling is intended for several categories of readers - geologists, engineers, and managers involved in the study and evaluation of subsurface reservoirs and hydrocarbon exploration. The authors cover progress in various fields of computer sciences such as solid modeling or knowledge engineering, which can provide useful techniques for solving several crucial issues concerning the modeling of geological reservoirs. The book will also be of interest to researchers in computer science. Problems of major importance have recently made their appearance in earth modeling and are likely to provide opportunities for researchers to implement some of the many innovative techniques that are currently being developed, on actual case studies. More broadly, earth modeling is a good example of an engineering field that involves complex methodologies, a range of skills, and multiple participants. This book will also be of interest to engineers, researchers, and students who wish to apply advanced knowledge-based techniques to complex engineering problems.
Over the last two decades, earth modeling has become a major investigative tool for evaluating the potential of hydrocarbon reservoirs. During that time, significant progress has been made in interactive and user-friendly software that is commonly used by professionals for oil and gas exploration. At present, petroleum companies are facing a number of challenges in exploration. Not only must they investigate newly identified resources but, given existing hydrocarbon price fluctuations, they must also re-evaluate the potential of previously investigated reservoirs, examine new prospecting data, and consider divergent interpretations. However, significant difficulties are involved. Earth models used for oil and gas exploration and production rely on various types of raw data (seismic data, well-log data, thin-section observation, rock sample analyses). They are synthetic representations that incorporate a variety of different interpretations made at successive steps of the modeling process (seismic interpretation, stratigraphic correlations, petrological property identification) by professionals with different interests and abilities (geophysicists, geologists, petrologists, reservoir engineers). At present, the modeling procedures currently in use in the industry provide no way to link a range of data and interpretations with a final earth model. In the best cases, these links can only be retrieved by examining the written reports that accompany the model itself. This situation is very unsatisfactory, and presents a serious obstacle to evaluating the quality of a given model and improving it by modifying some of the assumptions on which it rests.
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Over the last two decades, earth modeling has become a major investigative tool for evaluating the potential of hydrocarbon reservoirs. Earth modelling must now face new challenges since petroleum exploration no longer consists in only investigating newly identified resources, but also in re-evaluating the potential of previously investigated reservoirs in the light of new prospecting data and of revised interpretations. Earth models incorporate a variety of different interpretations made on various types of data at successive steps of the modeling process. However, current modeling procedures provide no way to link a range of data and interpretations with a final earth model. For this reason, sharing and exchanging information about the model building process is at present a major difficulty. Recently, the term Shared Earth Modeling has been used for expressing the idea that earth models should be built in such a way that experts and end users can have access, at any time, to all the information incorporated into the model. This information does not only concern the data, but also the knowledge that geoscientists produce by interpreting these data. Accordingly, practical solutions must be studied for operating a knowledge-driven approach of Shared Earth Modeling. This is the goal of this book. This study of earth subsurface modeling is intended for several categories of readers. It concerns in the first place geologists, engineers and managers involved in the study and evaluation of subsurface reservoirs and hydrocarbon exploration. Relying on recent progress in various fields of computer sciences, the authors present innovative solutions for solving the critical issue of knowledge exchange at key steps of the modeling process. This book will also be of interest to researchers in computer science and, more generally, to engineers, researchers and students who wish to apply advanced knowledge-based techniques to complex engineering problems.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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