A New Formation Pore Pressure Prediction Method Based on 3D Seismic Data

Abstract

The invention belongs to the field of oil and gas geophysics exploration and discloses a novel method for predicting formation pore pressure based on 3D seismic data. According to the method, a Tau model method and a Fillipone formula are combined, and a Tau-Fillippone formula is constructed to predict formation pore pressure. According to the formation pore pressure prediction method provided bythe invention, a step of establishing a normal compaction trend line is avoided, the difficulty in constructing a normal compaction trend line by a conventional methods (such as a Tau model method) iseffectively overcome, the influence of human factors is reduced, and the prediction precision of the method is higher than that of a conventional Fillipone formula method.

Description

technical field [0001] The invention belongs to the field of oil and gas geophysical exploration, in particular to a new method for predicting formation pore pressure based on three-dimensional seismic data. Background technique [0002] In oil and gas geophysical exploration, formation pore pressure provides important information for the distribution, migration, and storage of oil and gas. It is not only the basis for determining the drilling fluid density and well depth structure, but also an important factor that determines the success or failure of drilling. At present, the commonly used prediction methods of formation pore pressure mainly include Eaton model method, Fillippone formula method and Tau model method. [0003] (1) Eaton model method [0004] This model (Eaton B A(1976.Graphical method predicts geopressure worldwide[J].World Oil,183:100-104)) analyzes the velocity field deviation based on the normal compaction trend, and then establishes the velocity field d...

AI Technical Summary

Problems solved by technology

[0017] (1) The Tau model method is an improved method for the Eaton method. The prediction accuracy and stability are better than the Eatone method, but the normal compaction trend line still needs to be established, which is greatly affected by human factors;

[0018] (2) Although the Fillippone formula method is not affected by the "artificially established normal compaction trend line", its calculation efficiency and calculation accuracy are low, and further corrections to the calculation results are required;

[0020] It can be seen that the key reason why the existing technology cannot effectively solve the problem lies in the accurate establishment of the "normal compaction trend line". The current methods are all artificially selected reference intervals and established according to their own experience, which are less affected by human factors. Big

Images