Natural potential curve baseline drift correcting method for seismic inversion

Abstract

The invention discloses a natural potential curve baseline drift correcting method for seismic inversion, which comprises the following steps of: acquiring top depth and thickness data of a sandstone section; generating top depth and thickness data of a mudstone section, and generating depth values of sampling points corresponding to the mudstone section according to the sampling intervals of a natural potential logging curve; retrieving the data of the natural potential logging curve, determining natural potential amplitude values corresponding to the depth values of the sampling points of the mudstone section, and generating data points of the depth values of the sampling points of the mudstone section corresponding to the natural potential amplitude values; connecting corresponding data points of various mudstone sections to generate a natural potential curve baseline; and correcting the natural potential curve and the baseline to generate the corrected natural potential curve. The method can automatically calculate and correct the natural potential curve baseline, has higher accuracy, also can automatically process massive well data in batch, and is favorable for improving the accuracy and efficiency for correcting a seismic inversion logging curve.

Description

technical field [0001] The invention relates to a processing technology of well logging data used in seismic inversion for geophysical development of oil reservoirs, in particular to a method and device for correcting spontaneous potential curve baseline drift for seismic inversion. Background technique [0002] It is a common phenomenon that existing acoustic logging curves cannot describe lithology in oilfields with sand-shale reservoirs. Therefore, it is necessary to reconstruct the physical characteristic curves of reservoirs in the process of seismic inversion. However, due to the lack of measurement of density curves and gamma curves in old oilfields, basic well patterns basically do not have these two logging curves, and resistivity logging curves, such as microelectrode curves and micropotential curves, are less affected by fluid changes. Since the spontaneous potential curve can reflect the change of the shale content of the reservoir and has a certain relationship ...

AI Technical Summary

Problems solved by technology

[0004] The prior art correction method of artificially drawing the spontaneous potential baseline in the software window can satisfy the seismic inversion work in the case of fewer known wells in the oilfield exploration stage, but for the development seismic work carried out in high water-cut oilfields , since a development block has at least hundreds of wells, some hundreds of wells, or even thousands of wells, this method of manually drawing a baseline for each well is very inefficient and seriously affects the work progress, thus It is necessary to develop a fast automatic log curve baseline drift correction method suitable for development seismic inversion under the condition of multiple wells in high water-cut oilfields

Images