Method for evaluating heterogeneity of natural gas production layer group

The invention provides a method for evaluating heterogeneity of a natural gas production layer group, and is applied to the technical field of gas exploitation. The method comprises the following steps of: after determining a production layer group type to which a production layer group to be evalua...

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Bibliographische Detailangaben
Hauptverfasser:	SUN ZENING, ZHANG LINQIANG, WANG PENG, ZHAO JUN, LI BIN, HAO DUOHU, SUN BIN, WANG YIZHONG, RUI XIAOPING, QI YU, QI YINBO, JU YIWEN, JIANG ZHIXUN, ZHANG HONGJIE, LIU JING
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES EARTH DRILLING EARTH DRILLING, e.g. DEEP DRILLING FIXED CONSTRUCTIONS MINING OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR ASLURRY OF MINERALS FROM WELLS PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention provides a method for evaluating heterogeneity of a natural gas production layer group, and is applied to the technical field of gas exploitation. The method comprises the following steps of: after determining a production layer group type to which a production layer group to be evaluated belongs, based on reservoir composition of the production layer group to be evaluated represented by the production layer group type, respectively calculating parameter values of heterogeneity influence parameters of each reservoir of the production layer group to be evaluated, and weight coefficients of the heterogeneity influence parameters; for each heterogeneity influence parameter, according to the parameter values of the heterogeneity influence parameters, calculating a membership degree used for representing a correlation degree between the heterogeneity influence parameters and a heterogeneity evaluation result; and finally, according to the membership degree and the weight coefficient of the heterogene