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''Dessert'' probability direct estimation method and system based on prestack inversion

A pre-stack inversion and sweet spot technology, applied in the field of oil and gas exploration, can solve problems such as low computational efficiency, complex prediction methods, and poor stability

Active Publication Date: 2019-09-06
CENT SOUTH UNIV +1
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Problems solved by technology

[0004] The current problem of "sweet spot" probability calculation or area prediction is: the current forecasting method is relatively complicated, and the calculation efficiency is low. In addition, the stability of the current forecasting algorithm is not good enough, and the estimation of the sweet spot probability cannot be accurately realized.

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[0055] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0056] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0057] Implementation example one

[0058] This embodiment discloses a method for directly estimating the "sweet spot" probabi...

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Abstract

The invention proposes a ''dessert'' probability direct estimation method and a ''dessert'' probability direct estimation system based on prestack inversion. The ''dessert'' probability direct estimation method comprises the steps of: utilizing well logging data to obtain a joint probability distribution among inversion parameters, that is, the joint probability distribution of a longitudinal wavemodulus and a density; using a probability estimation method to obtain an initial ''dessert'' phase probability; calculating a conditional probability distribution of a ''dessert'' sensitive parameter longitudinal wave modulus and a shear modulus, and sampling from the conditional probability distribution to obtain new longitudinal wave modulus and shear modulus models; calculating a conditionalprobability distribution of the density according to the new longitudinal wave modulus model through combining the longitudinal wave modulus with the density, and sampling from the conditional probability distribution to obtain a new density model; and calculating a new ''dessert'' phase probability, and utilizing an acceptance probability formula to determine whether to update the inversion parameters and the ''dessert'' phase probability model. The ''dessert'' probability direct estimation method and the ''dessert'' probability direct estimation system can obtain a series of samples of the related inversion parameters and the posterior probability distribution of the ''dessert'' phase probability through continuous iteration, and realize the direct estimation of the ''dessert'' phase probability.

Description

technical field [0001] The present disclosure relates to the technical field of oil and gas exploration, in particular to a method and system for direct estimation of "sweet spot" probability based on pre-stack inversion. Background technique [0002] In recent years, as the target of oil and gas exploration has gradually shifted to unconventional reservoirs, as a crucial geological target in the prediction of tight sandstone reservoirs, the identification of “sweet spots” has attracted more and more attention. "Sweet spot" is an important geological and productivity concept in unconventional reservoirs, and it is used to describe areas with relatively high porosity and high permeability in tight sandstone reservoirs. The "sweet spot" facies is similar to the traditional lithofacies and fluid phase parameters, and a series of discrete values ​​can be used to characterize the "sweet spots" and non-"sweet spots". Discrete "sweet spot" phase parameters are difficult to quantit...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V1/40G01V1/30
CPCG01V1/306G01V1/40G01V2210/624
Inventor 张广智潘新朋赵晨王东琰周顺心
Owner CENT SOUTH UNIV
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