Comparison Between Well Production Performance Tests and Reservoir Simulation Predictions Based on Log Data Including Multicomponent Induction Measurements in a Low-resistivity, Electrically Anisotropic, Laminated Shaly Sand Gas Reservoir

Comparison between well production performance tests and reservoir simulation predictions based on log data including multicomponent induction measurements in a low-resistivity, electrically anisotropic, laminated shaly sand gas reservoir Raj M. Damodaran; Raj M. Damodaran Baker Atlas Search for other works by this author on: This Site Google Scholar Otto Fanini; Otto Fanini B.G. Energy Holdings Ltd. Search for other works by this author on: This Site Google Scholar Nick Colley; Nick Colley B.G. Energy Holdings Ltd. Search for other works by this author on: This Site Google Scholar Alberto Mezzatesta Alberto Mezzatesta Baker Atlas Search for other works by this author on: This Site Google Scholar Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. Paper Number: SPE-75529-MS https://doi.org/10.2118/75529-MS Published: April 30 2002 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Damodaran, Raj M., Fanini, Otto, Colley, Nick, and Alberto Mezzatesta. "Comparison between well production performance tests and reservoir simulation predictions based on log data including multicomponent induction measurements in a low-resistivity, electrically anisotropic, laminated shaly sand gas reservoir." Paper presented at the SPE Gas Technology Symposium, Calgary, Alberta, Canada, April 2002. doi: https://doi.org/10.2118/75529-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 Unconventional Resources Conference / Gas Technology Symposium Search Advanced Search AbstractWell production performance tests were performed for a low resistivity, electrically anisotropic, laminated shaly sand gas reservoir. This paper compares such production test results with reservoir well simulation predictions based on log data, which include multicomponent induction measurements of formation resistivity anisotropy. Previously accurate gas well production performance evaluation of low contrast, low resistivity laminated shaly gas sand zones often required the performance of a production well test. A reliable prediction of well production performance through reservoir simulation based on log data has been a challenge. Such a predictive ability is required for optimum completion and field development decisions. The reliability of these simulation predictions has been compromised by the petrophysical limitations of gas-in-place evaluations for thinly bedded, laminated reservoirs. This situation arises whenever traditional scalar saturation equations are applied to conventional resistivity instrumentation data. Traditional laminar shaly sand saturation equations are based on a horizontal parallel conductivity model dominated by the high shale conductivities in vertical wells. These equations typically result in significant underestimates and uncertainties in gas-in-place evaluation in laminated zones. Such equations must be fine-tuned from one well to the next. Formations containing laminated sand-shale sequences and laminated sands of different porosity and/or grain size exhibit macroscopic electrical anisotropy. This formation property provides us with additional information about laminated hydrocarbon-bearing sands. New multicomponent induction logging hardware makes it possible to directly measure the vertical, Rv, and horizontal, Rh, resistivities and the resulting resistivity anisotropy (in the so-called transversely anisotropic media) for vertical, deviated, and horizontal wells. The use of both vertical and horizontal resistivities in petrophysical evaluation provides improved reservoir characterization, leading to better prediction of well production performance using reservoir simulation techniques.A standard suite of logs, including multicomponent induction data, was recorded in a well interval with thick and laminated sands within a gas reservoir. Petrophysical analysis of these laminated zones utilizing resistivity anisotropy has resulted in an approximately 20% increase of estimated gas-in-place over estimation methodologies previously applied to similar gas reservoirs1. Production test flow rates were compared with reservoir simulation predictions. Two interpretation results were considered in generating the simulation model, one incorporating the resistivity anisotropy tensor estimated from multicomponent induction tool measurements, and the other where a conventional, single resistivity interpretation was used. The 3DEX resistivity anisotropy data interpretation has lead to a more accurate shaly sand reservoir characterization of hydrocarbon volume-in-place which, when used with standard reservoir simulation techniques, resulted in better production flow rate prediction results in comparison with actual production well test results.IntroductionCan additional log data such as resistivity anisotropy improve well flow prediction in laminated sand-shale sequences? Conventional estimation of fluid saturation in laminated sequences may lead to underestimating hydrocarbon reserves. The presence of laminations with thickness below that of the instrument resolution can result in an observed macroscopic anisotropy as described in Figure 1. Even though the thin, individual sand and shale laminae may be isotropic, the layered sequence of sands and shales exhibit apparent electrical anisotropy at the scale of the logging instrument resolution. Measuring the resistivity anisotropy and incorporating it in a petrophysical evaluation provides improved evaluation of thinly bedded reservoirs, leading to a considerable improvement in reservoir simulation predictions for well performance tests. This in turn provides support for the petrophysical evaluation results. Keywords: evaluation, water saturation, modeling & simulation, well logging, reservoir, reservoir simulation prediction, upstream oil & gas, well production performance test, simulation prediction, multicomponent induction measurement Subjects: Formation Evaluation & Management, Open hole/cased hole log analysis This content is only available via PDF. 2002. Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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