Abstract
The identification and classification of petroliferous unit is the key to the success in the exploration for oil-gas fields with geophysical knowledge that are the main means and ways to reduce exploration risk and improve exploration efficiency. In this paper, it analyzes geophysical response characteristics under conditions of gas, oil and water through the establishment of horizontal layered medium model. Then it extracts and analyzes seismic abnormal characteristics of the data structure combining the method of grey system theory based on the experiment, which are considered as an important reference for further objectively identifying petroliferous unit and the exploration of oil-gas fields in the practical application with comparison and analysis.
Highlights
In the 1970s, the 'bright spot' technique had been used by geophysical workers for the identification of petroliferous unit with breakthrough
With the deepening and development of geophysical research work, it was found that variational regularity of oil-gas-water and the dipartition of petroliferous and nonpetroliferous formations could not be identified well alone with the change of amplitude characteristic in the case of oilgas formations, which mainly results from multiple solutions for seismic response characteristics
The seismic data structure is the relationship of permutation and combination shown from discrete amplitude data of seismic wave [1], such as characteristic change in the slope and inflection point, etc
Summary
In the 1970s, the 'bright spot' technique had been used by geophysical workers for the identification of petroliferous unit with breakthrough. With the domanial expansion and technical development of oil-gas exploration, it is proposed AVO (Amplitude Versus Offset) technology in the systematic study on the basis of variational regularity with amplitude versus offsets that quickly gains widespread application. With the deepening and development of geophysical research work, it was found that variational regularity of oil-gas-water and the dipartition of petroliferous and nonpetroliferous formations could not be identified well alone with the change of amplitude characteristic in the case of oilgas formations, which mainly results from multiple solutions for seismic response characteristics. Lin Changrong, after taking a series of research, making use of seismic data structure characteristics is able to identify and classify petroliferous unit preferably that can be considered as a basis for objectively understanding and solving oil-gas problems in practical application
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