A method and device for predicting the spatial distribution of seams
A technology of spatial distribution and prediction method, which is applied in the field of spatial distribution prediction of seams, which can solve the weak research of seams, the lack of identification methods, evaluation methods and prediction methods, causes of formation and main controlling factors of seams Unclear understanding and other issues, to achieve the effect of improving exploration and development efficiency and reducing risk costs
Active Publication Date: 2021-04-06
CHINA UNIV OF PETROLEUM (BEIJING)
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[0004] At present, there are many studies on tectonic fractures, and their formation, main controlling factors, identification methods, evaluation methods and prediction methods are relatively mature; however, the research on lamellar fractures is relatively weak, and the understanding of their formation and main controlling factors is unclear. Corresponding page seam recognition method, evaluation method and prediction method
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[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present specification in combination with the drawings in the embodiments of the present specification. Obviously, the described embodiments are only some of the embodiments of the present specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.
[0027] figure 1 It is a flow chart of a method for predicting the spatial distribution of page seams according to an embodiment of this specification.
[0028] In this embodiment, the main body that executes the method for predicting the spatial distribution of page seams may be an electronic device with a logical operation function, and the electronic device may be a server and a client, and the client may be a desktop computer, Tablets, laptops, w...
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The embodiments of the present specification provide a method and device for predicting the spatial distribution of seams. Including: dividing shale fracture facies according to core data and thin section data; determining the logging response characteristics of the shale fracture facies according to the logging data; Vertical distribution of rock fracture facies on a single well; take the vertical distribution of the shale fracture facies on a single well as a constraint, and establish an equation with the shale fracture facies index as the objective function; predict the spatial distribution of shale fractures according to the equation . The embodiment of this manual establishes an equation with the shale fracture facies index as the objective function, which can evaluate and predict the spatial distribution of shale fractures, and provide reliable information for shale oil and gas exploration and development, thereby reducing the risk of unconventional oil and gas exploration and development cost and improve the efficiency of exploration and development.
Description
technical field [0001] The embodiments of this specification relate to the field of unconventional oil and gas exploration and development, and in particular to a method and device for predicting the spatial distribution of lamellae. Background technique [0002] Shale oil and gas is a very important unconventional oil and gas resource in my country. It has a wide distribution range and a huge amount of oil and gas resources. It is the main unconventional oil and gas resource that is currently being explored and developed in my country. The development of natural fractures in shale reservoirs has an important impact on the enrichment and preservation of shale oil and gas. How to evaluate and predict the distribution of shale fractures is of great significance to the exploration and development of shale oil and gas. Compared with other reservoirs, in addition to structural fractures, shale reservoirs also develop lamellation fractures, which affect the exploration and develo...
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IPC IPC(8): G01V11/00
Inventor 曾联波吕文雅张洺菁陆诗磊董少群徐翔田鹤
Owner CHINA UNIV OF PETROLEUM (BEIJING)