Method and device for evaluating residual gas dessert area of dense glutenite gas reservoir

By optimizing the well pattern model using structural and sedimentary facies models, and combining it with pressure and abundance distribution maps, the remaining sweet spots of tight sandstone and conglomerate gas reservoirs were identified. This solved the problem of low accuracy in existing technologies and enabled efficient well placement and reserve enhancement.

CN122154505APending Publication Date: 2026-06-05DAQING OILFIELD CO LTD +1
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Patent Information

Application Number
CN202411761315.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing methods have low accuracy in evaluating the remaining gas sweet spots in tight sandstone and conglomerate gas reservoirs, and cannot accurately delineate the remaining gas sweet spots, thus hindering the efficient development of tight sandstone and conglomerate gas reservoirs.

Method used

By acquiring a detailed geological model of the original well network in the study area, and combining it with structural models, sedimentary facies models, and reservoir models, static residual gas potential areas are selected. The pressure and abundance distribution maps of the original well network numerical model are used to determine the current and future residual gas sweet spots. Virtual wells are deployed in the final residual gas sweet spots for verification.

Benefits of technology

It enables accurate and rapid selection of remaining sweet spots in tight sandstone and conglomerate gas reservoirs, guides well location deployment, improves drilling success rate and gas well efficiency, and enhances well-controlled reserves and development efficiency of gas reservoirs.

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Abstract

The invention discloses a method for evaluating a residual gas dessert area of a dense glutenite gas reservoir, and relates to the technical field of oilfield development. The method comprises the following steps: optimizing a static residual gas potential region by utilizing a structure, a sedimentary facies and a reservoir model; determining a current residual gas potential area by using digital-analog current pressure and residual gas abundance, and preferably selecting a current residual gas sweet spot area through dynamic and static combination; carrying out digital-analog scheme prediction, and determining an optimal scheme by utilizing accumulated output, daily output, pressure and residual gas abundance; a future residual gas potential area is determined on a pressure and residual gas abundance map predicted by the scheme, dynamic and static combination is carried out, and a future residual gas sweet spot area is preferably selected; taking an intersection of the current and future residual gas dessert areas, and determining a final residual gas dessert area; and deploying a virtual well in the sweet spot area, and verifying the final residual sweet spot area. According to the method, the optimal selection method of the residual gas dessert area is defined, the final residual gas dessert area is determined, and systematic, accurate and rapid optimal selection of the residual gas dessert area of the dense glutenite gas reservoir is achieved.
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