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Geophysical Quantitative Prediction Method, Device, Equipment and Storage Medium of Source Rock Organic Carbon

A technology of geophysics and prediction methods, applied in the field of exploration and development of oil and gas resources, can solve the problems of outstanding discreteness, long period of realization of geochemical analysis, inability to accurately distinguish between reservoirs and non-reservoirs, etc., and achieve the effect of improving accuracy

Active Publication Date: 2021-06-25
SHANGHAI BRANCH CHINA OILFIELD SERVICES
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Problems solved by technology

[0004] However, in the existing technology, the geochemical analysis of single well core cuttings samples has the problems of long implementation period, high cost and outstanding discreteness, which seriously restricts the popularization and application of its evaluation results; It is difficult to interpret the change law of petrophysical characteristics of organic carbon in source rocks, and it is difficult to describe the lateral heterogeneity of organic carbon in source rocks; although the pre-stack elastic parameter inversion in seismic inversion method has high reliability, it is usually The amount of data is huge and the calculation efficiency is low; however, the post-stack elastic parameter inversion cannot accurately distinguish between reservoirs and non-reservoirs due to the serious overlapping of petrophysical characteristics of different intervals and different lithologies in the actual formation. layer, the prediction accuracy of organic carbon in source rocks is difficult to guarantee

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  • Geophysical Quantitative Prediction Method, Device, Equipment and Storage Medium of Source Rock Organic Carbon
  • Geophysical Quantitative Prediction Method, Device, Equipment and Storage Medium of Source Rock Organic Carbon
  • Geophysical Quantitative Prediction Method, Device, Equipment and Storage Medium of Source Rock Organic Carbon

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Embodiment 1

[0045] figure 1 It is a flow chart of a seismic quantitative prediction method for organic carbon in source rocks provided by Embodiment 1 of the present invention. This embodiment can be applied to fine evaluation of resource potential in hydrocarbon-rich sags for oil and gas exploration and development, and specifically includes the following steps:

[0046] Step 101: Perform preset processing on the acquired input data, introduce core cuttings data constraints, calculate the optimal volume content of each component of the input rock, and complete the longitudinal TOC estimation of a single well logging;

[0047] Wherein, the acquired input data may be the first round of TOC logging estimation results and logging response curves, and the input data shall be preprocessed to obtain the optimal solution of the volume content of rock components. For example, the aforementioned preset processing can be an optimized interpretation method, and the aforementioned rock components can...

Embodiment 2

[0056] figure 2 It is a flow chart of a seismic quantitative prediction method for source rock organic carbon provided by Embodiment 2 of the present invention. The technical solution of this embodiment is further refined on the basis of the above-mentioned technical solution, and specifically mainly includes the following steps:

[0057] Step 201, normalize the gamma curve value and the acoustic wave time difference curve value in the measured data;

[0058] Among them, when the organic matter content in the mudstone increases, the gamma value and the sonic time difference both increase, and they are normalized, and the formula is as follows:

[0059]

[0060]

[0061] In the formula, GR' represents the normalized value of the gamma curve; DT' represents the normalized value of the acoustic time difference curve.

[0062] Step 202: Multiply the normalized value of the gamma curve by the normalized value of the sonic time difference curve; where the product of the nor...

Embodiment 3

[0077] image 3 It is a flow chart of a seismic quantitative prediction method for source rock organic carbon provided by Embodiment 3 of the present invention. The technical solution of this embodiment is further refined on the basis of the above-mentioned technical solution, and specifically mainly includes the following steps:

[0078] Step 301: Perform preset processing on the acquired input data, introduce core cuttings data constraints, calculate the optimal volume content of each component of the input rock, and complete the longitudinal TOC estimation of a single well logging;

[0079] Step 302, dividing the microstructure of various mineral particles, and calculating the equivalent elastic modulus of the solid mechanism by using a self-compatible approximate equivalent model;

[0080] Among them, according to X-ray diffraction and particle size analysis, various mineral particles can be divided into microstructures: minerals with an aspect ratio of 1.0 are classified...

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Abstract

The embodiment of the present invention discloses a geophysical quantitative prediction method, device, equipment and storage medium of source rock organic carbon. The method includes: pre-processing the obtained input data, introducing the constraints of the measured core cuttings data, calculating the optimal volume content of each rock component, and completing the single well longitudinal TOC estimation; combining the measured core microfacies data with the core-based Based on the geochemical analysis results of cuttings data, a petrophysical model of clastic source rocks in the study area was established; the logging response characteristics were repaired through forward modeling and fidelity, and the TOC sensitive statistical equation of the source rocks in the study area was constructed by cross-analysis of petrophysics; Pre-stack inversion establishes three-dimensional lithofacies constraints, combined with the P-wave impedance data obtained by post-stack inversion, and uses TOC sensitive statistical equation transformation to construct a source rock TOC seismic quantitative prediction section. The technical scheme of the embodiment of the present invention achieves the effect of improving the seismic quantitative prediction accuracy of source rock organic carbon while taking into account the effect of realization efficiency.

Description

technical field [0001] The embodiments of the present invention relate to the field of exploration and development of oil and gas resources, and in particular to a geophysical quantitative prediction method, device, equipment and storage medium for source rock organic carbon. Background technique [0002] In the process of exploration and development of oil and gas resources, the evaluation of source rock scale, source rock quality and hydrocarbon generation potential is an important basic guarantee for the implementation of oil and gas field exploration design deployment and resource estimation. [0003] In the existing technology, it is widely used to obtain source rock information at fixed points through geochemical analysis of single well core cuttings samples, and to obtain continuous source rock information vertically by using source rock organic carbon logging data. Seismic combined qualitative and quantitative prediction of source rock information. [0004] However,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30G01V1/36G01V1/28G01N33/28
CPCG01N33/28G01V1/282G01V1/306G01V1/362
Inventor 张岩侯志强赵军姜勇李键刘云
Owner SHANGHAI BRANCH CHINA OILFIELD SERVICES
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