Novel modelless Bayesian classification and prediction model soft measurement method

Abstract

The invention discloses a novel modelless Bayesian classification and prediction model soft measurement method. Firstly, the dimension reduction and the noise reduction of the gas chromatogram data are effectively realized through the curve fitting method, and then the characteristic value of the gas chromatogram data is extracted, thereby shortening the classification model training time and getting better generalization ability. The novel modelless Bayesian classification and prediction model soft measurement method uses a new modelless Bayesian classification algorithm to establish a recognition model, which can effectively avoid the problem of the decline of the generalization performance of the model caused by the training sample not satisfying the condition independence. The novel modelless Bayesian classification and prediction model soft measurement method provided by the invention objectively shows the degree of flooding of oil and gas reservoirs under different conditions through gas chromatogram measurement, and indicates the degree of flooding and the exploitation value of each oil and gas reservoir, thereby helping oil drilling companies to further improve mining efficiency and reduce costs. Therefore, the technical scheme provided by the present invention has the validity and applicability.

Description

technical field [0001] The invention relates to the technical field of oilfield exploitation, in particular to a novel model-free Bayesian classification prediction model soft sensor method. Background technique [0002] At present, most of the oilfields in my country are exploited by water injection, and the long-term water injection exploitation method makes the water content of many oilfields very high. Mud logging technology is the most basic technology in oil and gas exploration and development activities, and it is the most timely and direct means to discover and evaluate oil and gas reservoirs. Reservoir geochemical logging technology is a method of applying reservoir geochemistry to detect hydrocarbon information closely related to oil and gas in rocks through specific instruments, evaluate oil source rocks and reservoir rocks, and judge water flooding of reservoirs in water storage and injection development areas level, looking for remaining oil, and providing geol...

AI Technical Summary

Problems solved by technology

However, it is not very ideal in terms of the time it takes to recognize and the effect

Therefore, manual detection of oil and gas layers mainly depends on the actual experience of mud logging interpretation engineers, and there are great chances and errors

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