Title: Fracture characterization and Geostatistical inversion of carbonate rock reservoir in Tahe oilfield, Northwest China
Abstract: Summary Seismic inversion is one of the main techniques for reservoir prediction. At present, the main inversion methods are including Trace integration, Recursive inversion, Inversion based on geological model and Inversion based on geological statistics. The first two inversion methods have low resolution and are not suitable for high-resolution reservoir prediction, inversion based on geological model has high resolution, but it is far away from wells and has reduced reliability. Geostatistics inversion is to use the principle of geostatistics and the known reservoir data as the basis and use the method of stochastic simulation to generate multiple optional and equal probability reservoir models. The results have high resolution and can reflect the subtle changes of reservoir. The disadvantage of the inversion is that it produces multiple inversion results with strong multi-solution and requires high quality of logging data. By comparing various inversion methods, it is considered that the inversion method based on Geostatistics can improve the prediction accuracy of carbonate karst fractured-cave reservoirs under the conditions of better seismic data and logging data quality and more drilling wells in Tahe Oilfield, and good results can be achieved. In this paper, geostatistics inversion technology is used to predict reservoirs in order to improve the prediction ability of small-scale reservoirs such as fracture-cavity type and hole type, and provide a feasible method for quantitative prediction of fracture-cavity reservoir.
Publication Year: 2019
Publication Date: 2019-01-01
Language: en
Type: article
Indexed In: ['crossref']
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