Method for forecasting carbonate reservoir based on forward modeling of digital geological outcrop model

Abstract

The invention discloses a method for forecasting a carbonate reservoir based on forward modeling of a digital geological model, and is characterized by comprising the following steps: in petroleum geological exploration, through a field carbonate geological outcrop collecting and data processing technology and combination with an actually-measured geological section, establishing a three-dimensional digital geological model of an outcrop area, according to an outcrop rock speed analysis chart and a drill speed data, establishing a speed model of the carbonate reservoir with different physical properties on the basis of the three-dimensional geological model, carrying out two-dimensional forward modeling and three-dimensional forward modeling, carrying out offset horning process on earthquake forward modeling data so as to obtain three-dimensional offset data or a two-dimensional offset section of the earthquake forward modeling, establishing reflecting characteristics of different carbonate reservoirs according to response characteristics of the earthquake section, and forecasting the carbonate reservoir. According to the invention, qualitative forecasting of the carbonate reservoir can be realized without a regular earthquake inversion, a large amount of manpower and device resources are saved, reliability and precision of forecasting of the carbonate reservoir in the earthquake are effectively improved, exploration and development risk can be reduced, and benefit is increased.

Description

technical field [0001] The invention relates to geophysics and geological technology, and belongs to a carbonate reservoir prediction method based on digital geological outcrop model forward modeling in geological exploration and oil and gas exploration research. Background technique [0002] Carbonate rocks are rich in oil and gas reserves, but the carbonate rocks themselves are relatively complex, oil and gas are obviously controlled by reservoirs, and reservoir types are diverse and heterogeneous, making reservoir prediction difficult. [0003] In the past, the reservoir prediction in oil and gas exploration was mainly based on seismic data to determine the seismic geological horizon, then seismic inversion, seismic wavelet extraction, seismic synthetic record calibration, seismic and logging combined to establish an initial wave impedance model, and Constantly debug and modify the model to achieve the best, and finally carry out wave impedance inversion to obtain wave im...

AI Technical Summary

Problems solved by technology

[0004] In the process of seismic inversion, trial and error is required to achieve the best results, requiring a lot of manpower and equipment resources; moreover, a large amount of drilling data and high-precision logging data such as sound wave and density are required to improve the accuracy of reservoir prediction. In the area where the reservoir data and well logging data are collected, the seismic inversion of the reservoir has multiple solutions and the accuracy is low.

Images