TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractIn many reservoirs, permeability values are often available from one or as many as four sources. These permeability sources include core analysis, nuclear magnetic resonance log (NMR), wireline formation tester, and well testing (DST). However, permeability values from these sources often differ significantly. In many cases, this creates confusion as to which value of permeability should be used to best represent reservoir performance and well productivity.In this paper, permeability values, evaluation methods, scales and applicability of all measurements are discussed and verified with field data.Factors influencing each measurement technique are also discussed.Available permeability data from the various sources in a deep water Gulf of Mexico sandstone reservoir are considered to demonstrate how they may be used to build a model of well/reservoir performance. An accurate knowledge of permeability is critical to forecasting rates. Production facilities may be over-or under-designed if rates are inaccurately predicted, excessive capital expenditure for an over-designed facility or the inability to deliver at high rates for an under-designed facility can cost an operator and its partners dearly.
TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractPermeability is a critical reservoir parameter that defines well and reservoir performance. An accurate knowledge of permeability is critical to forecasting rates and designing production facilities. The permeability determined from different sources can vary significantly, resulting in inconsistent estimates of well and/or reservoir performance.In this paper, permeability values and evaluation methods, are discussed and verified with field data. It is shown how NMR derived permeabilities calibrated to MDT or comprehensive core data can be used to define well/reservoir performance. By accounting for the effects of overburden, as well as, pore pressure when measuring permeability in core tests, more representative values of permeability can be determined. These values of permeability can be used to accurately calibrate NMR permeability data.The simulation and calibration results are compared to measured well test data. Results from this work show that if these various sources are integrated properly an accurate well productivity model can be achieved.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.