Multilayer reservoir body three-dimensional depiction and oil-gas space distribution and constant volume method

Abstract

The invention discloses a multilayer reservoir body three-dimensional depiction and oil-gas space distribution and constant volume method. The method comprises the following steps: obtaining a three-dimensional seismic amplitude data volume and drilling and logging data of a target area; performing structure-oriented filtering processing on the three-dimensional seismic amplitude data volume; on the basis of the three-dimensional seismic amplitude data volume, identifying fractures and cracks through a machine learning technology; solving an amplitude curvature attribute of the three-dimensional seismic amplitude data volume so as to predict a hole type reservoir; carrying out well-to-seismic calibration on the three-dimensional seismic amplitude data volume, extracting wavelets, solving a wave impedance data volume, further calculating residual wave impedance, and using the residual wave impedance data volume for identifying the cave-type reservoir; and setting a prediction threshold value of each attribute under the quality control and constraint of the drilling and logging data in combination with the obtained identification prediction results of the fracture crack, the hole type reservoir and the cave type reservoir, so as to realize the three-dimensional depiction of the multi-layer reservoir body and the spatial distribution and constant volume calculation of the oil and gas.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration, in particular to a three-dimensional depiction of multi-layer reservoirs and a method for oil and gas spatial distribution and constant volume. Background technique [0002] Various types of reservoirs develop in the strike-slip fault zone, mainly divided into caves, vugs, and fractures. These three types of reservoirs have obvious differences in seismic reflection characteristics and attribute characteristics, and they need to be classified and predicted by different technical means , and finally carry out fusion processing to achieve the goal of comprehensive evaluation of fault zone reservoirs. [0003] At present, researchers have carried out a series of research work on the identification and description of fault-karst oil and gas reservoirs. Due to the deep burial of fault-karst oil and gas reservoirs and the weakening of seismic reflection characteristics, conventional tech...

AI Technical Summary

Problems solved by technology

[0003] At present, researchers have carried out a series of research work on the identification and description of fault-karst oil and gas reservoirs. Due to the deep burial of fault-karst reservoirs and the weakening of seismic reflection characteristics, conventional technical means are difficult to fully excavate seismic data information, which affects fault zones. The spatial characterization effect is mainly manifested in the difficulty of determining the identification modes of different types of fractures, holes, and caves, the low accuracy of geophysical identification of fault-karst reservoirs, and the inability to effectively distinguish different types of fault-karst reservoirs. Connectivity is difficult to determine and quantitative description is difficult

Images