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A method for reconstructing gas-bearing sensitivity curves of high-temperature and high-pressure gas reservoirs

A sensitive curve, high-pressure gas technology, applied in seismology, instruments, measurement devices, etc., can solve the problems of inability to effectively predict gas-bearing reservoirs, distinguish between difficult gas layers and non-gas layers, and achieve important application prospects and economic Value, improve quality, ensure the effect of precision

Active Publication Date: 2019-11-12
XI'AN PETROLEUM UNIVERSITY
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Problems solved by technology

Due to the influence of mineral composition, fluid in pores, reservoir heterogeneity, temperature and pressure, it is difficult to distinguish gas layers from non-gas layers by a single parameter
For high-temperature and high-pressure gas reservoirs, since the acoustic wave curve cannot directly identify the gas layer, the existing statistical fitting method of the crossplot of the acoustic wave curve and the information statistical weighting method for the curve reconstruction method have certain limitations and cannot realize the analysis of gas reservoirs. layer effective prediction

Method used

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  • A method for reconstructing gas-bearing sensitivity curves of high-temperature and high-pressure gas reservoirs
  • A method for reconstructing gas-bearing sensitivity curves of high-temperature and high-pressure gas reservoirs
  • A method for reconstructing gas-bearing sensitivity curves of high-temperature and high-pressure gas reservoirs

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Embodiment 1

[0029] Embodiment 1, with reference to figure 1 , a high-temperature and high-pressure gas reservoir A, a method for reconstructing a gas-bearing sensitivity curve of a high-temperature and high-pressure gas reservoir, comprising the following steps:

[0030] 1) The logging curve environment correction is performed first, and then the abnormal value of the logging curve is eliminated to obtain a standardized logging curve;

[0031] 2) Under the premise of standardized logging curves, carry out petrophysical analysis on high-temperature and high-pressure gas reservoirs, and obtain gas layer sensitive parameters of high-temperature and high-pressure gas reservoirs. Gas layer sensitive parameters include resistivity R curve and natural gamma ray GR curve;

[0032] 3) Since the resistivity is not directly related to the seismic amplitude, but the seismic amplitude is closely related to the difference in wave impedance (the product of velocity and density) of the formation above an...

Embodiment 2

[0046] Embodiment 2, with reference to Figure 5 , a high-temperature and high-pressure B gas reservoir, a method for reconstructing a gas-bearing sensitivity curve of a high-temperature and high-pressure gas reservoir, comprising the following steps:

[0047] 1) The logging curve environment correction is performed first, and then the abnormal value of the logging curve is eliminated to obtain a standardized logging curve;

[0048] 2) Under the premise of standardized logging curves, carry out petrophysical analysis on high-temperature and high-pressure gas reservoirs, and obtain gas layer sensitive parameters of high-temperature and high-pressure gas reservoirs. Gas layer sensitive parameters include resistivity R curve and natural gamma ray GR curve;

[0049] 3) Since the resistivity is not directly related to the seismic amplitude, but the seismic amplitude is closely related to the difference in wave impedance (the product of velocity and density) of the formation above a...

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Abstract

Disclosed is a high-temperature and high-pressure gas reservoir gas-containing sensitive curve reconstruction method. The method comprises the following steps of firstly, performing well-logging curveenvironment correction, then removing an abnormal value of the well-logging curve to obtain a standardized well-logging curve; then carrying out rock physical analysis on the high-temperature and high-pressure gas reservoir on the premise of the standard well-logging curve, and obtaining high-temperature and high-pressure gas reservoir gas-layer sensitive parameters, wherein the gas-layer sensitive parameters comprise a resistivity R curve and a natural gamma GR curve; converting the resistivity R curve into a speed v curve by utilizing an Faust formula; and next, calculating the mud contentVsh through the natural gamma GR curve, reconstructing a gas-containing sensitive curve S, establishing an initial model by utilizing the reconstructed gas-containing sensitive curve S, then carryingout seismic inversion, and carrying out prediction on a high-quality gas-containing reservoir. By adoption of the method, the high-temperature and high-pressure gas-containing reservoir fluid detection precision is guaranteed, and the fluid detection quality is really improved.

Description

technical field [0001] The invention relates to the technical field of fluid detection, in particular to a method for reconstructing gas-bearing sensitivity curves of high-temperature and high-pressure gas reservoirs. Background technique [0002] Accurate identification and prediction of gas-bearing reservoirs can reduce the risk of exploration and development of high-temperature and high-pressure gas reservoirs, improve the success rate of drilling, and reduce the cost of exploration and development of gas reservoirs, which is of great significance. Due to the influence of factors such as mineral composition, fluid in pores, reservoir heterogeneity, temperature and pressure, it is difficult to clearly distinguish gas layers from non-gas layers by a single parameter. For high-temperature and high-pressure gas reservoirs, since the acoustic wave curve cannot directly identify the gas layer, the existing statistical fitting method of the crossplot of the acoustic wave curve a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01V1/30
CPCG01V1/306G01V2210/6226G01V2210/624
Inventor 李磊邹韵张鹏
Owner XI'AN PETROLEUM UNIVERSITY
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