Quantitative prediction method for compaction hole reduction amount

Abstract

The invention discloses a quantitative prediction method for a compaction hole reduction amount. The method comprehensively considers the influence of sedimentary facies, granularity, rock debris particles, rigid particles, roundness, sorting properties, mud contents, cementing strength, cementing types, corrosion time, burying depth, abnormal high pressure and a deposition rate for a mechanical compaction function to independently carry out mechanical compaction function data simulation in a time domain and a spatial domain, and a quantification model which can reflect hole evolution and themechanical compaction function in the burying and diagenesis process of sediments is constructed. The model is scientific, reasonable and accurate, and a new simulation method is provided for the quantitative prediction of the compaction hole reduction amount.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration and development, in particular to a quantitative prediction method for compaction porosity reduction. Background technique [0002] During the process of sediment burial and diagenesis, the rock volume and pore space gradually shrink, and the rock becomes more and more dense. Among them, mechanical compaction is the main controlling factor of sandstone reservoir performance. It accounts for more than the vast majority of the total pore loss of the reservoir, thus greatly affecting the reservoir properties of the sand body. The geological factors affecting the mechanical compaction of clastic rock reservoirs are not only related to the material composition and grain structure of the sand body, but also the diagenetic environment is an important factor affecting the mechanical compaction during the burial process. As the diagenetic process progressed, various diagenetic geological f...

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Problems solved by technology

[0003] Starting from the factors that affect mechanical compaction, physical simulation experiments are used to discuss the change law of physical properties of sand reservoirs during mechanical compaction. Due to the limitation of experimental conditions, the simulation parameters are mostly temperature, pressure, rock composition and The size of the grain size, but can not comprehensively consider the change of physical properties of sand body reservoirs in the process of mechanical compaction under the action of various factors

Since the compaction simulation tests of single or mixed minerals with different rock compositions, different particle sizes and different sorting degrees cannot be systematically carried out, it is impossible to further reveal the change law of the physical properties of clastic rock reservoirs during the compaction process, that is, Unable to accurately and quantitatively predict the reduction of primary pores under compaction

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