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The AAPG/Datapages Combined Publications Database
Cluster and regression analyses have been used to screen for predictive models and to test whether open-flow data can provide insight to aid in the assessment of near-optimum design for gas production from Devonian shale. The analysis shows that data from a Kentucky-West Virginia frac study should be partitioned. The vertical stress variable (X6) was found to be the key variable; it is directly related to depth. Maximum flow occurs when 3,400 < X6 < 4,100 and minimum flow occurs when either X6 < 3,000 or X6 > 4,100. This zonation characteristic of the high flow values implies that the location of the prolific reservoir is the key to successful well production. This reservoir effect is consistent with our recent geoch mical data and an extension of the geochemical cross section can be made. The optimization aspect was addressed using nonlinear (quadratic) models. Usable, optimal parameters valid on a regional basis can be generated. The study serves to illustrate that priority should be given to the effort to
establish an accurate geochemical cross section of the basin if the development of the Devonian shale is to be optimized.
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