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• W4247481153 abstract "Use of Pressure Transient Data To Obtain Geostatistical Parameters for Reservoir Characterization S.K. Yadavalle S.K. Yadavalle Texas A&M U. Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, September 1994. Paper Number: SPE-28432-MS https://doi.org/10.2118/28432-MS Published: September 25 1994 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Yadavalle, S.K. Use of Pressure Transient Data To Obtain Geostatistical Parameters for Reservoir Characterization. Paper presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, September 1994. doi: https://doi.org/10.2118/28432-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE Annual Technical Conference and Exhibition Search Advanced Search AbstractRecent interest in the use of pressure transient data in the area of geostatistical reservoir description has focused on constraining permeability realizations to well test derived average permeabilities or to the measured pressure response. These methods assume an a priori knowledge of the horizontal variogram. Such information is difficult to obtain from the common sources of well data (cores and logs) particularly at the small lag values which can dominate the information in a well test. In this paper we investigate the possibility of deriving an estimate of the horizontal variogram directly from well test data, We also present information on the significance of average permeability values derived from well test information.Our results indicate that well test average permeabilities, kwt, are not generally a good approximation of the average of the underlying permeability field even if the field is completely random. In the correlated cases, the relationship of the well test derived average and the distribution average is heavily realization dependent. With respect to variograms, we find that our methods produce a reasonable estimate of range and short-lag shape when kwt/kgm for the correlated case compares favorably with the value derived from the uncorrelated case with the same level of variability. No estimate of input values of nugget or sill can he derived using the approach presented here.IntroductionOur focus in this paper is the use of well test data to derive estimates of the univariate and spatial statistics of the underlying permeability field. Our approach is to simulate, numerically, single well tests on correlated and uncorrelated, two dimensional permeability fields. We consider log-normal and normal permeability distributions and generate all permeability realizations for the correlated fields using an isotropic, spherical variogram model. However, only the log-normal cases are presented here since the normal cases were similar in character. We attempt to limit all simulations to the transient flow period only. In any case, we interpret only data from this flow period.We investigate the feasibility of deriving estimates of distribution mean value and correlation length, We also look at the possibility of recognizing the presence of a nugget effect in the input. Semilog analysis of the late time data yields an estimate of average permeability and inversion schemes previously reported in the literature are used to obtain permeability as a function of radial distance from the well. This calculated radial permeability distribution is used to estimate a variogram.This paper has five sections. We first review the methods for calculating a permeability versus distance relationship from the simulated well test data, Since these methods are mostly quite recent contributions to the literature, a fairly detailed review is presented. Next, we discuss how the permeability realizations are calculated and what the range of their characteristics is. After this, our procedure for simulating the well tests is presented. The final two sections contain the results of the cases we have simulated, a discussion of these results and the conclusions derived. Because we assume the reader is familiar with the basic concepts of geostatistics, no overview of the methods from that field are presented here. The reader needing this background should consult Refs. 13 and 14.Methods for Determining Permeability Distributions from Pressure Transient AnalysisCalculation of variogram parameters for horizontal permeability distributions necessarily requires that we know the permeability distribution as a function of position. In order to use pressure transient analysis methods for this purpose then requires a method by which we can assign a position in the reservoir to the permeabilities we calculate from the drawdown pressure and rate data.P. 719^ Keywords: geological modeling, variogram, permeability field, society of petroleum engineers, geometric average, permeability distribution, flow in porous media, uncorrelated case, pressure transient analysis, reservoir characterization Subjects: Reservoir Characterization, Reservoir Fluid Dynamics, Formation Evaluation & Management, Geologic modeling, Flow in porous media, Pressure transient analysis, Drillstem/well testing This content is only available via PDF. 1994. Society of Petroleum Engineers You can access this article if you purchase or spend a download." @default.
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• W4247481153 title "Use of Pressure Transient Data To Obtain Geostatistical Parameters for Reservoir Characterization " @default.
• W4247481153 doi "https://doi.org/10.2523/28432-ms" @default.
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