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Formation pressure prediction method based on stochastic simulation

A formation pressure and stochastic simulation technology, applied in 3D modeling, earthwork drilling, image data processing, etc., to achieve the effect of reducing the dimension, speeding up the simulation speed, and improving the prediction speed

Active Publication Date: 2018-09-21
SHANGHAI UNIVERSITY OF ELECTRIC POWER
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Problems solved by technology

With the continuous improvement of drilling technology, many new monitoring methods of formation pressure while drilling have come out one after another in recent years. Reliable prediction of formation pressure in an area

Method used

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  • Formation pressure prediction method based on stochastic simulation
  • Formation pressure prediction method based on stochastic simulation

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Experimental program
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Embodiment

[0028] The known data of formation pressure is used as training data, and the formation pressure is distributed in a designated three-dimensional area to form a three-dimensional formation training image. The training images are scanned using the data template to capture the probabilistic information of the data. Data templates are generally used to scan the training data (usually in the form of training images) to capture patterns, which can be regarded as structural features of the training data. If one node (that is, one voxel) is moved at a time, scanning is performed from left to right and from top to bottom, then the entire pattern library of the training data can be obtained.

[0029] The size of the general data template is subjectively selected by the user. On the one hand, the template size needs to be as small as possible to reduce CPU load and memory requirements, and on the other hand, it needs to be large enough to capture the feature information in the training...

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Abstract

The invention relates to a formation pressure prediction method based on stochastic simulation. The method comprises the steps that according to an information entropy theory, the optimum size of a data template is determined, and the data template is utilized to scan a training image of formation pressure and extract pattern features of the training image; dimensionality reduction is carried outon the pattern through principal component analysis or multidimensional transformation, a k-means algorithm is utilized for classification, a mean value of categorical data is acquired and is taken asa representative mean value of the category, the known formation pressure data is compared with the above mean value to obtain differences, and formation pressure data in a category with the minimumdifference is taken as a predicted value. Compared with the prior art, the method can effectively achieve the formation pressure data prediction, and the predication speed and quality can be improved.

Description

technical field [0001] The invention relates to a formation pressure prediction method, in particular to a formation pressure prediction method based on stochastic simulation. Background technique [0002] Formation pressure is a basic data to be obtained in the process of exploration and development of an oil field. In the geological exploration process of oilfields, accurate prediction of formation pressure in a region can provide important information for understanding the distribution, migration and accumulation of oil and gas in the region, and help to design and formulate reasonable development plans and increase oil and gas production ;In oilfield drilling practice, the accuracy of formation pressure prediction is related to the accuracy of the drilling fluid density used and the reasonableness of the designed well depth structure, which helps to reduce the occurrence of accidents such as blowout and lost circulation during drilling, and makes the drilling speed Impr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): E21B49/00G06T17/05
CPCG06T17/05E21B49/00
Inventor 张挺
Owner SHANGHAI UNIVERSITY OF ELECTRIC POWER
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