Low-frequency model construction method and computer-readable storage medium

Abstract

The invention discloses a low-frequency model constructing method and a computer-readable storage medium. The method comprises the steps of acquiring an underground water growth time depth range basedon logging data and geological data; based on the underground water growth time depth range, obtaining a frequency division attribute chart, screening a well set A of which the well drilling positions are on the underground river; analyzing the rationality that each well in the well set A meets the underground river through geological data, according to the frequency division attribute chart, classifying the well in the same river to one set, thereby obtaining sub-well sets A1A2,..., An; and based on the sub-well sets A1A2,..., An, respectively establishing low-frequency models B1, B2,..., Bn, and performing combination for obtaining a final low-frequency model C. According to the low-frequency model constructing method, based on routine low-frequency modeling, a geological thought is utilized for guiding low-frequency modeling; river planar distribution is determined through an earthquake attribute, but the earthquake attribute does not directly participate in calculation in modeling. Not only is independence in low-frequency modeling kept to a certain extent, but also an actual geological condition is considered so that the low-frequency model more accord with a carbonate rock river phase geological condition.

Description

technical field [0001] The invention belongs to the field of petroleum exploration, and more specifically relates to a low-frequency model construction method and a computer-readable storage medium. Background technique [0002] Seismic inversion is the main method and means for reservoir lateral prediction in petroleum exploration and development. Among them, the inversion method under logging control builds a low-frequency model through logging data and participates in the whole process of seismic inversion, which reflects the constraint effect of logging data on inversion and obtains higher resolution inversion results. However, for carbonate reservoirs with strong heterogeneity, conventional low-frequency model building methods cannot adapt to the strong lateral variation characteristics of carbonate rocks, so the established low-frequency models often have certain differences in the horizontal direction from the understanding of geological deposition laws , therefore, ...

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Problems solved by technology

However, for carbonate reservoirs with strong heterogeneity, conventional low-frequency model building methods cannot adapt to the strong lateral variation characteristics of carbonate rocks, so the established low-frequency models often have certain differences in the horizontal direction from the understanding of geological deposition laws , therefore, it is necessary to develop a low-frequency model building method for carbonate fluvial facies

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