PREFERRED WATERFLOOD MANAGEMENT PRACTICES FOR THE SPRABERRY TREND AREA

Sizemore, C. M. ; Schechter, David S.

Texas Eng Experiment Station

关键词: Management;    02 Petroleum;    Forecasting;    Waterflooding;    Reservoir Engineering;   

DOI  :  10.2172/894292
RP-ID  :  None
RP-ID  :  FC26-01BC15274
RP-ID  :  894292

美国|英语

来源: UNT Digital Library

【 摘 要 】

This report describes the work performed during the second year of the project, ''Preferred Waterflood Management Practices for the Spraberry Trend Area''. The objective of this project is to significantly increase field-wide production in the Spraberry Trend in a short time frame through the application of preferred practices for managing and optimizing water injection. Our goal is to dispel negative attitudes and lack of confidence in water injection and to document the methodology and results for public dissemination to motivate waterflood expansion in the Spraberry Trend. To achieve this objective, in this period we concentrated our effort on characterization of Germania Unit using an analog field ET ODaniel unit and old cased hole neutron. Petrophysical Characterization of the Germania Spraberry units requires a unique approach for a number of reasons--limited core data, lack of modern log data and absence of directed studies within the unit. The need for characterization of the Germania unit has emerged as a first step in the review, understanding and enhancement of the production practices applicable within the unit and the trend area in general. In the absence or lack of the afore mentioned resources, an approach that will rely heavily on previous petrophysical work carried out in the neighboring ET O'Daniel unit (6.2 miles away), and normalization of the old log data prior to conventional interpretation techniques will be used. A log-based rock model has been able to guide successfully the prediction of pay and non-pay intervals within the ET O'Daniel unit, and will be useful if found applicable within the Germania unit. A novel multiple regression technique utilizing non-parametric transformations to achieve better correlations in predicting a dependent variable (permeability) from multiple independent variables (rock type, shale volume and porosity) will also be investigated in this study. A log data base includes digitized formats of Gamma Ray, Cased Hole Neutron, limited Resistivity and Neutron/Density/Sonic porosity logs over a considerable wide area. In addition, a progress report on GSU waterflood pilot is reported for this period. We have seen positive response of water injection on new wells. We believe by proper data acquisition and precise reservoir engineering techniques, any lack of confidence in waterflooding can be overcome. Therefore, we develop field management software to control a vast data from the pilot and to perform precise reservoir engineering techniques such as decline curve analysis, gas and oil material balances, bubble map plot and PVT analysis. The manual for this software is listed in the Appendix-A.