A lithologic identification method of igneous rocks and its application:a case of the igneous reservoir in Block Zao-35;

Aiming at the fuzzy character that exists in complex lithologic identification,the problems of lithologic identification are researched by cross plot and fuzzy clustering algorithm.

Because the effect of lithology is far in excess of fluid,lithologic identification is espe- cially important in the area.

On the basis of analyzing the speciality of the limestone reservoir which is micrite muscovite quality, the lithological discrimination method and reservoir dividing standards of it are established with combination of oil well and core a-nalysis data.

This system, which is developed on the basis of FORWARD platform and can be run in Sun workstation and microcomputers, is made up of the 3D horizontal well description and reservoir spread subsystem, the environmental correction subsystem lithological discrimination subsystem and interpretation subsystem.

Based on it,this paper introduces the evaluation research and applications from lithological discrimination,reservoir identification and reservoir parameter determination.

The study has been carried out for application of BP neural networks technique to lithologic recognition in logging interpretation of volcanic rocks in view of the speciality of volcanic reservoir (complexity.

By applying the algorithms to some examples and practical lithologic recognition, the results show that the algorithms are effective.