Quantitative prediction method for ancient lake shoreline, equipment and system

Abstract

The invention provides a quantitative prediction method and system for an ancient lake shoreline, computer equipment and a computer readable storage medium, and relates to the technical field of geological exploration. The method comprises the following steps: performing isochronous small-layer fine division on drilled wells in a research area; carrying out core observation on the drilled well after isochronous small-layer fine division, and acquiring a core observation result; establishing a lithology distinguishing template according to the core observation result; analyzing and processing the drilling data according to the lithology distinguishing template; and predicting the position information of the ancient lake shoreline according to an analysis processing result and the lithologydistinguishing template. According to the invention, the lake shoreline position is quantitatively depicted according to the special lithology identification of peat carbonaceous mudstone strata and coal seams so that a problem that data point data is difficult to obtain is solved, and the problem of reproduction of a small-layer-level lake shoreline transition evolution process is solved too.

Description

technical field [0001] The present invention relates to the technical field of geological exploration, in particular to the exploration technology of ancient lake shorelines, and specifically to a quantitative prediction method, system, computer equipment and computer-readable storage medium of ancient lake shorelines. Background technique [0002] At present, the location determination of the ancient lake shoreline mainly includes the following methods: [0003] 1) Paleo-geomorphic features Paleo-gullies and canyons on the edge of the lake can be used as indicators to identify the paleo-lake shoreline; [0004] 2) Shell (shell) beach is an important coastal landmark; [0005] 3) Current cross-bedding, ripple marks, small-scale wavy bedding in siltstone, oxidation bands in mudstone, plant root traces, mud cracks, rain marks and other exposed structures (Komatsu et al., 2001; Jiang Zaixing, 2003 ), carbonate rock dissolution zone, etc.; [0006] 4) Peat layers, coal seams,...

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Problems solved by technology

[0009] The above methods all have difficulties in obtaining data points and less data. It is difficult to describe relatively accurately in the vertical and horizontal planes. Most of them can only outline the general shape with a few points, which is far from the actual application requirements.

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