Three-dimensional inversion initial model construction method based on multi-detection-mode resistivity logging

Abstract

The embodiment of the invention provides a three-dimensional inversion initial model construction method and system based on multi-detection-mode resistivity logging. The method comprises the steps offirstly acquiring a logging curve, and layering a target layer based on the logging curve; then on the basis of a layering result, correcting apparent resistivity in the logging curve so as to obtaintrue resistivity; and finally, carrying out kriging interpolation on the true resistivity, and carrying out resistivity assignment on a finite element mesh required for forward modeling on the basisa result obtained by kriging interpolation. Through correcting the apparent resistivity in the logging curve, the true resistivity closer to a true stratum can be acquired and is used as the resistivity of a three-dimensional inversion initial model based on multi-detection-mode resistivity logging. Through the method provided by the embodiment of the invention, the problem of low initial model precision in the prior art can be solved, the number of iterations of inversion can be effectively reduced, a whole three-dimensional inversion workflow is accelerated, and a technical support can be provided for reservoir assessment and thin oil layer distribution.

Description

technical field [0001] The present invention relates to the technical field of multi-detection mode resistivity logging, and more specifically, to a method for constructing a three-dimensional inversion initial model based on multi-detection mode resistivity logging. Background technique [0002] With the advancement of geophysical exploration of resources such as oil and gas, how to obtain the real distribution of subsurface strata is very important. [0003] In the prior art, the final formation model is usually determined by combining forward modeling and inversion. Since the inversion is to carry out forward modeling by constantly changing the formation model and comparing it with the measured value of apparent resistivity, the selection of the initial model has a great influence on the inversion. The speed of convergence is crucial. The conventional initial model selection method is usually to directly use the apparent resistivity value obtained from well logging as th...

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Problems solved by technology

The conventional initial model selection method is usually to directly use the apparent resistivity value obtained from well logging as the initial model or use a homogeneous body as the initial model. With this method, because the difference between the initial model and the real formation is too far, it will greatly increase the The large number of inversion iterations makes the inversion efficiency low

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