Reservoir prediction method under less well condition

Abstract

The invention relates to a reservoir prediction method under a less well condition. The method comprises the following steps of acquiring the logging data and the seismic data of an exploration target, carrying out three-dimensional interpretation tracking on the seismic data of the exploration target, and acquiring the geologic horizon interpretation result of the exploration target; qualitatively dividing the typical measuring line seismic facies of the exploration target; quantitatively dividing the seismic facies of the three-dimensional seismic data volume of the exploration target; carrying out sedimentary facies interpretation on the quantitatively-divided seismic facies of the three-dimensional seismic data volume of the exploration target and acquiring the macroscopic reservoir distribution trend understanding of the exploration target; determining the types of reservoir sensitive parameters which can reflect reservoir characteristics and the numerical range of the reservoir sensitive parameters which can reflect the reservoir characteristics corresponding to a reservoir; calculating the values of the reservoir sensitive parameters which can reflect the reservoir characteristics; extracting a reservoir sensitive parameter attribute plane graph; and re-delimiting the numerical range of the reservoir sensitive parameters which can reflect the reservoir characteristics corresponding to the reservoir in the reservoir sensitive parameter attribute plane graph and then predicting a reservoir distribution rule.

Description

technical field [0001] The invention relates to a reservoir prediction method, in particular to a reservoir prediction method under the condition of fewer wells. Background technique [0002] At present, the commonly used reservoir prediction methods in geological exploration include seismic inversion technology and seismic facies analysis technology. [0003] Seismic inversion technology refers to inverting the distribution and changes of rock geophysical parameters such as the velocity, density, and longitudinal wave impedance of the earth's inner medium based on various observed data (seismic data, well logging data, etc.), and then performing reservoir and oil and gas analysis. Possession distribution forecast. Seismic data records a wealth of geophysical information, especially the pre-stack CRP (Common Reflection Point, Common Reflection Point) gathers contain information about the variation of amplitude with offset, which can be used to analyze lithology, physical pr...

AI Technical Summary

Problems solved by technology

However, the distribution trend of geological bodies can only be obtained macroscopically by the method of waveform classification and seismic facies division. In the case of few wells, it is difficult to describe the distribution of reservoirs without the constraints and verification of sufficient logging data.

[0005] To sum up, in the absence of logging data at the initial stage of exploration, reservoir prediction is extremely difficult

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