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公开(公告)号：US20180172608A1
公开(公告)日：2018-06-21
申请号：US15888809
申请日：2018-02-05
Applicant: PetroChina Company Limited
Inventor： Hongliang WU , Ning Li , Changlin Lan , Zhou Feng , Qingfu Feng , Kewen Wang
IPC: G01N23/222 , G01N23/2204
CPC classification number: G01N23/222 , G01N23/2204 , G01V5/101
Abstract: The present invention provides a method and a device for measuring a formation elemental capture gamma ray spectrum, pertaining to the field of oil-gas exploration and well logging technologies. The method comprises: performing moderation on neutrons emitted from a neutron source according to a neutron capture cross section of a test sample; and adjusting a relative location of the test sample with respect to the neutron source, so that a standard capture gamma ray spectrum of the test sample is measured and obtained at a location where a thermal neutron flux reacting with atomic nucleuses of the test sample reaches a first predetermined value. The present invention performs moderation on a neutron source according to neutron capture cross sections of different test samples to measure and obtain elemental capture gamma ray spectra of the test samples, thereby obtaining various formation elemental capture gamma ray spectra with higher accuracy.
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12.发明授权公开(公告)号：US11003952B2
公开(公告)日：2021-05-11
申请号：US16506891
申请日：2019-07-09
Applicant: PetroChina Company Limited
Inventor： Zhou Feng , Hongliang Wu , Ning Li , Kewen Wang , Peng Liu , Yusheng Li , Huafeng Wang , Binsen Xu
Abstract: A method and an apparatus for automatically recognizing an electrical imaging well logging facies, wherein the method comprises: acquiring historical data of electrical imaging well logging; pre-processing the historical data of the electrical imaging well logging to generate an electrical imaging well logging image covering a full hole; recognizing a typical imaging well logging facies in the electrical imaging well logging image covering the full hole, and determining the electrical imaging well logging image covering the full hole as a training sample in accordance with a category of the imaging well logging facies; constructing a deep learning model including an input layer, a plurality of hidden layers, and an output layer; training the deep learning model using the training sample to obtain a trained deep learning model; and recognizing the well logging facies of the electrical imaging well logging image of the well section to be recognized using the trained deep learning model.
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公开(公告)号：US20180246999A1
公开(公告)日：2018-08-30
申请号：US15749290
申请日：2016-10-10
Applicant: PetroChina Company Limited
Inventor： Zhou Feng , Ning Li , Hongliang Wu , Huafeng Wang , Qingfu Feng , Kewen Wang
CPC classification number: G06F17/5009 , E21B41/0092 , E21B49/00 , E21B49/02 , G01V99/00 , G06F17/50
Abstract: The present invention provides a stratum component optimization determination method and device, which fall within the technical field of oil-gas exploration well logging. The method comprises: establishing a stratum rock component model according to core analysis data and geological conditions of a stratum to be detected, and determining a well logging curve determined by a participation model; determining a well logging response equation expression corresponding to the well logging curve determined by the participation model; parsing, recording and storing the well logging response equation expression, establishing a target function of an optimization problem, and solving the target function through an iteration algorithm to determine an optimal component content of the stratum to be detected. By establishing the stratum rock component model, determining corresponding well logging response equation, and parsing through an expression parsing method and recording and storing the well logging response equation expression, and then, establishing the target function of the optimization problem, and obtaining the optimal component content of the stratum to be detected through the iteration algorithm, the present invention can not only optimizes the self-defined well logging response equation expression of the user, but achieves a high processing precision.
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公开(公告)号：US20180246254A1
公开(公告)日：2018-08-30
申请号：US15942356
申请日：2018-03-30
Applicant: PetroChina Company Limited
Inventor： Hongliang Wu , Zhou Feng , Ning Li , Kewen Wang , Qingfu Feng , Gong Zhang
CPC classification number: G01V99/005 , E21B49/00 , E21B49/02 , E21B49/08 , G01V5/101
Abstract: Disclosed is a method of acquiring the rock component content in a stratum, the method comprising: on the basis of acquired element capture spectroscopy logging data, performing normalization processing on each element yield in the stratum rock components; on the basis of an element yield curve obtained from the normalization processing and a pre-established stratum rock interpretation model, establishing a logging curve response equation set; and utilizing the established logging curve response equation set and an optimization algorithm, calculating the content of a rock component in a stratum. The method and device can directly process element yield data of element capture spectroscopy logging, and can improve the accuracy of calculating the rock component in a stratum.
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