The Use of MRI Data for Predicting Well Performance and Aiding ReservoirDescription: Hidalgo Co., Texas

摘要

Historically, wireline log data are used to determine net payrnwith formation resistivity being the best tool to findrnhydrocarbon-bearing zones. Merely identifying hydrocarbonrnzones in the wellbore is not always adequate in providingrnquantitative data needed to make economic completions. Thisrnis especially true when fracture stimulation is routinelyrnapplied. Estimation of producing rates, especially waterrnproduction, is crucial in making the correct decision torncomplete and fracture stimulate a zone or to by pass therninterval. A method has been developed using MRI data tornpredict gas and water rates through the use of syntheticrncapillary pressure curves. Using Purcell’s permeability modelrnand the Corey-Burdine equations, fractional flow curves canrnbe developed for a complete section and prediction of waterrnand gas rates may be made for individual zones, thus aidingrnthe engineer in making economicrncompletion recommendations.rnThe present work reveals a stepwise procedure of generatingrnthe estimation of producing rates for gas and water by usingrnMRI and resistivity wireline data for completion practices.rnFurther presented in this paper is the application of syntheticrncapillary pressure data to reservoir modeling andrncharacterization. Rock typing and defining hydraulic flowrnunits is a natural extension of predicting flow rates. Data fromrnthe MRI is used as a continuous synthetic core from whichrnflow units have been related to rock types and their flowrncharacteristics. Definition of these intervals has aided in thernreservoir description and characterization of a newlyrndeveloped fault block within the field. MRI derived data suchrnas effective porosity; capillary pressure, relative permeability,rnand fractional flow behavior are being used in a model tornpredict gas water contacts, flow rates and recoverable gasrnreserves within the pilot study area. This knowledge will guiderndrilling location optimization within the fault block andrnultimately within the field when additional verification isrnobtained in the neighboring wells.