Method for predicting lithology of oil and gas reservoir based on logging data of artificial intelligence algorithm
A technology of well logging data and artificial intelligence, which is applied in the fields of earthwork drilling, wellbore/well components, etc., can solve the problems of no efficient algorithm, no core samples in drilling, etc., and achieve the effect of rapid prediction
Pending Publication Date: 2021-06-25
EAST CHINA UNIV OF TECH
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[0002] At present, drilling sampling combined with core analysis technology can determine the lithology data of the sampled formation; for medium and deep reservoirs, a certain well can often only get part of the core samples, and due to cost or other conditions, some wells have no core samples; Under the premise of only logging data and some core data, how to effectively calculate the lithology data of each formation in the middle and deep oil and gas reservoirs, and predict the lithology of the reservoir, there is currently no efficient algorithm
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[0049] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples. The detailed description and accompanying drawings of the following embodiments are used to illustrate the principles of the present invention, but cannot be used to limit the scope of the present invention, that is, the present invention is not limited to the described embodiments, without departing from the spirit of the present invention Any modification, substitution and improvement of parts, components and connection methods are covered under.
[0050] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.
[0051] It should be clear that each embodiment in this specification is described in a progressi...
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The invention discloses a method for predicting lithology of an oil and gas reservoir based on logging data of an artificial intelligence algorithm. The method comprises the steps of performing selection, supplement, cleaning and data standardization on known lithology data and corresponding logging data to obtain standardized lithology data and standardized logging data; performing model training based on the standardized lithology data, the standardized logging data and the artificial intelligence algorithm to obtain a prediction model; and calculating the lithology data by utilizing the prediction model and the logging data of a to-be-predicted exploratory well to predict the lithology of the oil and gas reservoir. According to the method, on the premise of having the logging data and part of core data, the lithology data of each stratum of medium and deep oil and gas reservoirs can be quickly and effectively predicted.
Description
technical field [0001] The invention belongs to the technical field of lithology prediction of oil and gas reservoirs, and in particular relates to a method for predicting lithology of oil and gas reservoirs based on logging data of an artificial intelligence algorithm. Background technique [0002] At present, drilling sampling combined with core analysis technology can determine the lithology data of the sampled formation; for medium and deep reservoirs, a certain well can often only get part of the core samples, and due to cost or other conditions, some wells have no core samples; Under the premise of only logging data and some core data, how to effectively calculate the lithology data of each formation in the middle and deep oil and gas reservoirs, and predict the reservoir lithology, there is currently no efficient algorithm. [0003] In view of this, it is urgent for those skilled in the art to provide a method for predicting the lithology of oil and gas reservoirs bas...
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Login to View More IPC IPC(8): E21B49/00
CPCE21B49/00
Inventor 刘唐伟
Owner EAST CHINA UNIV OF TECH