Analysis of the semianalytical method for matching aquifer influence functions using an analytical model /
(LP) and the Semianalytical technique. The latter is
| Main Author: | |
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| Format: | Thesis eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
[publisher not identified] ;
1998.
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| Subjects: | |
| Online Access: | Link to OAKTrust copy |
| Summary: | (LP) and the Semianalytical technique. The latter is A modification is proposed in the current research to allows the determination of the drive mechanism and and pressure data. Two methods have been used in the approximating AIF is a continuous function, which is a Aquifer Influence Functions (AIF) can be used to model based on the analytical solution form of a brief that the use of the p/Z technique becomes by the use of nonlinear least squares fitting. It has data to the Semianalytical and Relative Error determine the AIF and the optimum OGIP which are known evenly spaced production periods. For the cases in faster, uses less computer space, and does not require For a heterogeneous aquifer of unknown size and shape, ics. function, and unrealistically low values of the heterogeneous aquifer of any size and shape. The in advance. in the local minima. After this goal is attained, is used in this project. It allows the generation of is used, weird variations of the Relative Error local minima, which lead to the determination of of the optimization procedure, when the Semianalytical optimum OGIP are observed. A simple analytical model optimum value of OGIP. Because of the nonlinear nature past to accomplish this, namely Linear Programming prevent the nonlinear regression from getting caught prohibitive. Several values of OGIP are assumed, and the one that spurious values of the AIF and the optimum OGIP. Both synthetic data. The objective is to use those as input technique is used along with the Relative Error technique, it tends to be caught in the so-called techniques and determine their effectiveness to the advantages over the LP method that it is much the aquifer pressure behavior from field production the LP and the Semianalytical techniques have been the OGIP even in gas reservoirs whose histories are so the past in which the term Relative Error is defined. This Semianalytical function is fitted to field data truncated series of the exact analytical solution. typical features in the normalized Relative Error and validated using field data. However, when the latter which the OGIP is unknown, a technique was proposed in yields the minimum Relative Error is the actual or |
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| Item Description: | "Major subject: Petroleum Engineering". Vita. |
| Physical Description: | xii, 93 leaves : illustrations ; 28 cm. Also available online. |
| Bibliography: | Includes bibliographical references (leaves 76-77). |