Pressure Transient Formation and Well Testing: Convolution, Deconvolution and Nonlinear Estimation (Volume 57) (Developments in Petroleum Science, Volume 57) - Hardcover

Über die Autorin bzw. den Autor

Charlotte y Peter Fiell son dos autoridades en historia, teoría y crítica del diseño y han escrito más de sesenta libros sobre la materia, muchos de los cuales se han convertido en éxitos de ventas. También han impartido conferencias y cursos como profesores invitados, han comisariado exposiciones y asesorado a fabricantes, museos, salas de subastas y grandes coleccionistas privados de todo el mundo. Los Fiell han escrito numerosos libros para TASCHEN, entre los que se incluyen 1000 Chairs, Diseño del siglo XX, El diseño industrial de la A a la Z, Scandinavian Design y Diseño del siglo XXI.

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This book is a guide to the interpretation of pressure transient data obtained from both formation and well testing applications conducted in porous, permeable media for model identification and estimation of formation parameters. It offers comprehensive theoretical as well as practical information regarding the interpretation and analysis of pressure transient data from formation and well testing.

The first few chapter present the reader with the tools and hardware including pressure gauges and metrology used in formation and well testing, before focusing on the interpretation techniques and information obtainable from pressure transient measurements. Then, the basic theory and formulas used for interpretation, flow regime identification, and analysis are given. Later chapters present the reader with the advanced topics that are essential to pressure transient interpretation, namely: 1) the convolution integral or Duhamel s theorem for dealing with simultaneously measured pressure and flow rate data sets acquired at the same wellbore or in any other spatial locations; 2) Deconvolution techniques including the more recent robust techniques to reconstruct the influence (impulse) function of the well and reservoir system from pressure-rate and pressure-pressure data sets; 3) Nonlinear estimation methods based on the least-squares estimation (LSE) and maximum likelihood estimation (MLE) with or without prior knowledge on the formation parameters to be estimated. Unlike the LSE method, the MLE offers a simple way to estimate formation parameters by simultaneous history matching of spatially distributed pressure data sets with different, but unknown noise levels. A comprehensive theoretical treatment of both methods including gradient based optimization methods and statistical inference about the estimated parameters is also provided. The book ends with a chapter on the general principles of pressure transient test design and interpretation process.

The book is aimed at undergraduate and graduate students, and researchers in petroleum engineering, and can be used as useful reference book for undergraduate and graduate courses on pressure transient interpretation. It includes many worked simulated and field test examples to demonstrate the methodologies, and an extensive bibliography on pressure transient formation and well testing.

This book is a guide to the interpretation of pressure transient data obtained from both formation and well testing applications conducted in porous, permeable media for model identification and estimation of formation parameters. It offers comprehensive theoretical as well as practical information regarding the interpretation and analysis of pressure transient data from formation and well testing.

The first few chapter present the reader with the tools and hardware including pressure gauges and metrology used in formation and well testing, before focusing on the interpretation techniques and information obtainable from pressure transient measurements. Then, the basic theory and formulas used for interpretation, flow regime identification, and analysis are given. Later chapters present the reader with the advanced topics that are essential to pressure transient interpretation, namely: 1) the convolution integral or Duhamel s theorem for dealing with simultaneously measured pressure and flow rate data sets acquired at the same wellbore or in any other spatial locations; 2) Deconvolution techniques including the more recent robust techniques to reconstruct the influence (impulse) function of the well and reservoir system from pressure-rate and pressure-pressure data sets; 3) Nonlinear estimation methods based on the least-squares estimation (LSE) and maximum likelihood estimation (MLE) with or without prior knowledge on the formation parameters to be estimated. Unlike the LSE method, the MLE offers a simple way to estimate formation parameters by simultaneous history matching of spatially distributed pressure data sets with different, but unknown noise levels. A comprehensive theoretical treatment of both methods including gradient based optimization methods and statistical inference about the estimated parameters is also provided. The book ends with a chapter on the general principles of pressure transient test design and interpretation process.

The book is aimed at undergraduate and graduate students, and researchers in petroleum engineering, and can be used as useful reference book for undergraduate and graduate courses on pressure transient interpretation. It includes many worked simulated and field test examples to demonstrate the methodologies, and an extensive bibliography on pressure transient formation and well testing.