Petroleum logging prediction method and prediction device based on big data

Abstract

The invention discloses a petroleum logging prediction method and prediction device based on big data, applied to a petroleum logging prediction system, and the method comprises the steps: obtaining petroleum logging big data; creating a prediction model based on the petroleum logging big data; acquiring oil and gas monitoring metadata; and processing the oil and gas monitoring metadata based on the prediction model to generate a corresponding oil well logging prediction result. By adopting a distributed data acquisition and data analysis mode, more accurate analysis can be performed on petroleum logging according to a large amount of data generated in a historical petroleum logging process, so that a more accurate petroleum logging prediction effect is realized, and the ever-increasing prediction accuracy requirement of people is met; and on the other hand, the petroleum logging data is predicted and analyzed by combining a physical model with a machine model, so that the data analysis and processing speed can be effectively increased, the prediction efficiency can be improved, and meanwhile, the prediction accuracy can be effectively improved based on training and analysis of big data.

Description

technical field [0001] The invention relates to the technical field of petroleum logging, in particular to a big data-based petroleum logging prediction method and a big data-based petroleum logging prediction device. Background technique [0002] With the continuous increase of human living needs, people's demand for living materials is also increasing. In order to meet people's growing energy needs, logging technology is also constantly developing and improving. Since its birth, logging technology has experienced many revolutions. sexual reform. [0003] With the continuous development of science and technology and the continuous improvement of environmental protection concepts, people have put forward higher requirements and more demands on oil well logging technology. However, in the actual application process of the existing petroleum logging technology, technicians have found that the existing technology has at least the following technical problems: [0004] On the ...

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Problems solved by technology

[0004] On the one hand, due to its multi-format and multi-scale characteristics, a large amount of data acquired and accumulated in the process of historical well logging has not been fully exploited and utilized.

[0005] On the other hand, the existing logging technology analyzes the logging data of a single well to analyze the reservoir characteristics, and then checks the reliability of the analyzed data based on the technical personnel's personal knowledge reserve and practical work experience. However, the above-mentioned analysis and calculation process based on expert experience has low interpretation accuracy, especially for lithology identification of complex composition strata, the detection error is large, and it is difficult to meet the needs of exploration and development

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