Method and processor for predicting oil ring volume of condensate gas reservoir with high CO2 content

Method and processor for predicting oil ring volume of condensate gas reservoir with high CO2 content

The embodiment of the invention provides a method and device for predicting the volume of an oil ring of a condensate gas reservoir with high CO2 content and a processor. The method comprises the steps of establishing an oil ring volume prediction database; determining a parameter correlation degree...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: XING JIANPENG, ZUO MINGSHENG, JIANG DONGLIANG, CHEN HAO, TANG JIANDONG, ZHANG YIQI, LIU XILIANG, QIN QICHAO, RUI ZHENHUA, YANG RAN
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
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 embodiment of the invention provides a method and device for predicting the volume of an oil ring of a condensate gas reservoir with high CO2 content and a processor. The method comprises the steps of establishing an oil ring volume prediction database; determining a parameter correlation degree between each influence parameter and the corresponding oil ring volume; determining the influence parameters of which the parameter correlation degree is greater than a preset parameter correlation degree as main control parameters; inputting a parameter value corresponding to the main control parameter into a volume prediction model of the oil ring to obtain a predicted volume output by the volume prediction model; determining a target kernel function of the volume prediction model according to the predicted volume to obtain a target volume prediction model; and inputting main control parameters of a to-be-predicted condensate gas reservoir with high CO2 content into the target volume prediction model to obtain a