Method for predicting low-porosity and low-permeability clasolite effective reservoir at high-diagenesis stage

Abstract

The invention relates to a method for predicting a low-porosity and low-permeability clasolite effective reservoir at a high-diagenesis stage and belongs to the technical field of oil and gas exploration and development. The method is characterized in that a geological process response relationship is established through carrying out analysis, simulation and quantitative evaluation on a geological process affecting porosity, the original pore preservation and induced pore increase / decrease conditions of a reservoir are determined, thus, the current porosity of a low-porosity and low-permeability reservoir at the high-diagenesis stage is quantitatively evaluated, the development of the effective reservoir is predicted, and a basis is provided for reservoir evaluation. The method for predicting the low-porosity and low-permeability clasolite effective reservoir at the high-diagenesis stage has the advantages that the predictability is strong, the distribution of various clasolite effective reservoirs at different stages of high-diagenesis can be accurately predicted, the fine prediction on the distribution of effective reservoirs of a research target section can be achieved, and the predicted unit plane can reach a hectometer level; the theoretical basis is solid, and the condition of over reliance on the data of sampled points in the traditional method is avoided; the quantitative performance is good, the applicability is wide, and the information requirements are relatively low; and the evaluation, with different information foundations, on different exploration and development stages is facilitated.

Description

Technical field: [0001] The invention relates to a method for predicting an effective reservoir of clastic rock with low porosity and low permeability in high diagenetic stage, belonging to the technical field of oil and gas exploration and development. Background technique: [0002] As a new field of oil and gas exploration and development, low porosity and low permeability reservoirs in high diagenetic stage have received extensive attention. Low-porosity and low-permeability reservoirs have been found in major oil regions in my country, such as Changqing, Daqing, Liaohe, Jilin, Karamay, Tuha, Zhongyuan, Qinghai, Sichuan and other oil and gas fields. Especially in recent years, with the improvement of development technology, the production of low-permeability oil-gas reservoirs has continued to increase, and a large number of low-porosity and low-permeability reserves have been effectively developed, making the importance of low-permeability reservoirs increasingly prominen...

AI Technical Summary

Problems solved by technology

However, since the seismic attributes are affected by many factors, the same response may be the result of different attributes, and it is difficult to select a particularly good attribute relationship from them, especially for deep high-diagenetic low-permeability reservoirs, which are often affected by earthquakes due to large burial depths. Low resolution leads to difficult or inaccurate calibration, making it difficult to form a good regression model, the prediction results are often very unsatisfactory, and it is often difficult to identify reservoirs or distinguish better quality reservoirs

[0007] Based on this background, the use of indirect reservoir measurement data can no longer reflect the development of reservoirs, especially the development and distribution of effective reservoirs, which affects the oil and gas exploration of low-porosity and low-permeability reservoirs in the high diagenetic stage. For development, it is necessary to find an evaluation method different from conventional ones to better predict reservoir distribution and provide a basis for oil and gas exploration and development