Title: LOG INTERPRETATION OF RESERVOIR PARAMETERS AND RESERVOIR EVALUATION FOR YAGELIEMUZU FORMATION IN YAKELA GASFIELD
Abstract: Yageliemuzu formation is the strongly heterogeneous sandstone reservoir with middle-low porosity and middle-low permeability in Yakela gasfield.In recent years,it is difficult to increase gas reserves and production,so we need to re-evaluate the formation.Using geology,logging,drilling,core analysis data,the BP neural network porosity and permeability predicting model is established on the basis of selected learning data after the standardization logging and normalizing data.Then the statistical error method and overlapping graph are used to evaluate predicted result of the reservoir parameters.The mean absolute error of porosity is 0.90% and the mean absolute error of permeability is 22.61%.The statistic error demonstrates that the predicting results are highy accurate.The available data are used to determine the apprehensive evaluation model on the reservoir.Afier evaluating parameters and the calculating method of the evaluating score of the single evaluating parameters,the different reservoirs is classified in the study area.The logging response characteristic and the reservoir characteristic are summarized and the profitable location of reservoir is determined.It is suggested that the development measures for the second and third kinds reservoirs should be adjusted in order to improve the reservoir physical property and thus increase gas production.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
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Cited By Count: 1
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