CN-116046632-B - Reservoir permeability processing method, device, equipment and readable storage medium

CN116046632BCN 116046632 BCN116046632 BCN 116046632BCN-116046632-B

Abstract

The application provides a reservoir permeability processing method, a device, equipment and a readable storage medium. The method comprises the steps of obtaining first pore structure representation parameters corresponding to rock samples according to experimental porosity and experimental permeability of the rock samples of a sample reservoir, obtaining effective seepage porosity of the rock samples according to experimental porosity, experimental irreducible water saturation and nuclear magnetic resonance T2 spectrum of the rock samples of the sample reservoir, obtaining second pore structure representation parameters corresponding to the rock samples according to experimental permeability and effective seepage porosity of the rock samples, obtaining coefficients of a permeability equation according to the first pore structure representation parameters and the second pore structure representation parameters corresponding to the rock samples, and substituting the coefficients of the obtained permeability equation into the permeability equation to obtain a target permeability equation for predicting the permeability of the target reservoir at least at one depth. The method and the device can improve the prediction accuracy of the reservoir permeability.

Inventors

XIE WEIBIAO
WANG GUIWEN
YIN QIULI
LAI JIN
PANG XIAOJIAO
FENG CHENG
ZHANG PAN

Assignees

中国石油大学(北京)

Dates

Publication Date: 20260508
Application Date: 20230109

Claims (10)

1. A method of reservoir permeability treatment, the method comprising: Obtaining experimental porosity, experimental permeability, experimental irreducible water saturation and nuclear magnetic resonance T2 spectra of N rock samples of a sample reservoir, wherein N is an integer greater than or equal to 2, and the T2 spectra are obtained by performing saturated water rock sample nuclear magnetic resonance experiments on the rock samples; acquiring first pore structure characterization parameters corresponding to the rock samples according to the experimental porosity and experimental permeability of the rock samples, wherein the first pore structure characterization parameters are used for describing the pore structure of the rock samples from the porosity angle of the rock samples; acquiring effective seepage porosity of each rock sample according to experimental porosity, experimental irreducible water saturation and nuclear magnetic resonance T2 spectrum of each rock sample; Acquiring second pore structure characterization parameters corresponding to the rock samples according to the experimental permeability and the effective seepage porosity of the rock samples, wherein the second pore structure characterization parameters are used for describing the pore structure of the rock samples from the effective seepage porosity angle of the rock samples; Obtaining coefficients of a permeability equation according to the first pore structure representation parameters and the second pore structure representation parameters corresponding to the rock samples, wherein the permeability equation is used for representing the mapping relation among the porosity, the effective seepage porosity and the permeability; Substituting the acquired coefficient of the permeability equation into the permeability equation to obtain a target permeability equation, wherein the target permeability equation is used for predicting the permeability of a target reservoir layer at least at one depth.
2. The method of claim 1, wherein the obtaining a first pore structure characterization parameter corresponding to each of the rock samples based on the experimental porosity and the experimental permeability of each of the rock samples comprises: acquiring first pore structure characterization parameters corresponding to the rock samples according to the experimental porosity and experimental permeability of the rock samples and a first pore structure characterization formula; the first pore structure characterization formula is: Wherein, the A parameter characteristic for a first pore structure of the rock sample, For the experimental permeability of the rock sample, For the experimental porosity of the rock sample, For a preset maximum permeability of the rock sample, Is the preset maximum porosity of the rock sample.
3. The method of claim 2, wherein said obtaining effective percolation porosity for each of said rock samples based on experimental porosity, experimental irreducible water saturation, nuclear magnetic resonance T2 spectrum for each of said rock samples, comprises: Acquiring the porosity of the large-aperture pores in each rock sample according to the nuclear magnetic resonance T2 spectrum of each rock sample and a porosity calculation formula of the large-aperture pores; Obtaining effective seepage porosity of each rock sample according to an experimental porosity, experimental irreducible water saturation, porosity of a large-aperture pore and an effective seepage porosity calculation formula of each rock sample; the porosity calculation formula of the large-aperture pores is as follows: Wherein, the For the porosity of the large pore size pores in the rock sample, The porosity corresponding to the time T of T2 in the T2 spectrum, For a target node time of the T2 spectrum, The corresponding porosity at the moment of time which is larger than the target node time in the T2 spectrum is the porosity of the large-aperture pore; the effective seepage porosity calculation formula is as follows: Wherein, the For an effective seepage porosity of the rock sample, The experiments of the rock samples were tied to water saturation.
4. A method according to claim 3, wherein the obtaining a second pore structure characterization parameter corresponding to each of the rock samples based on the experimental permeability and the effective seepage porosity of each of the rock samples comprises: Obtaining a second pore structure representation parameter corresponding to each rock sample according to the experimental permeability and the effective seepage porosity of each rock sample and a second pore structure representation formula Wherein the second pore structure characterization formula is: 。
5. The method of claim 4, wherein the obtaining coefficients of the permeability equation based on the corresponding first and second pore structure characterization parameters for each of the rock samples comprises: According to the first pore structure characterization parameters and the second pore structure characterization parameters corresponding to the rock samples, obtaining coefficients of a permeability equation by utilizing a characterization parameter equation; The characterization parameter equation is: Wherein, the 、 Are coefficients of the permeability equation; the permeability equation is: Wherein, the In order to predict the permeability of the fluid, In order to achieve a degree of porosity, the porous material, Is effective percolation porosity.
6. The method according to any one of claims 1-5, further comprising: acquiring nuclear magnetic resonance logging data of a target reservoir; processing nuclear magnetic resonance logging data of the target reservoir to obtain T2 spectrums and irreducible water saturation of the target reservoir at a plurality of depths; acquiring the porosity of the target reservoir at a plurality of depths according to the T2 spectrums of the target reservoir at a plurality of depths; acquiring effective seepage porosity of the target reservoir at a plurality of depths according to T2 spectrums of the target reservoir at the plurality of depths and the irreducible water saturation; and obtaining predicted permeability of the target reservoir at a plurality of depths according to the effective seepage porosity of the target reservoir at a plurality of depths and the porosity by utilizing the target permeability equation.
7. The method of claim 6, wherein the method further comprises: And outputting the permeability of the target reservoir at a plurality of depths.
8. A reservoir permeability processing apparatus, the apparatus comprising: The system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring experimental porosity, experimental permeability, experimental irreducible water saturation and nuclear magnetic resonance T2 spectra of N rock samples of a sample reservoir, N is an integer greater than or equal to 2, and the T2 spectra are obtained by performing saturated water rock sample nuclear magnetic resonance experiments on the rock samples; The second acquisition module is connected with the first acquisition module and is used for acquiring first pore structure representation parameters corresponding to the rock samples according to the experimental porosity and experimental permeability of the rock samples, wherein the first pore structure representation parameters are used for describing the pore structure of the rock samples from the porosity angle of the rock samples; The third acquisition module is connected with the first acquisition module and is used for acquiring the effective seepage porosity of each rock sample according to the experimental porosity, the experimental irreducible water saturation and the nuclear magnetic resonance T2 spectrum of each rock sample; The fourth acquisition module is respectively connected with the first acquisition module and the third acquisition module and is used for acquiring second pore structure characterization parameters corresponding to the rock samples according to the experimental permeability and the effective seepage porosity of the rock samples; The fifth acquisition module is respectively connected with the second acquisition module and the fourth acquisition module and is used for acquiring coefficients of a permeability equation according to the first pore structure representation parameter and the second pore structure representation parameter corresponding to each rock sample, wherein the permeability equation is used for representing the mapping relation among the porosity, the effective seepage porosity and the permeability; The processing module is connected with the fifth acquisition module and is used for substituting the acquired coefficient of the permeability equation into the permeability equation to obtain a target permeability equation, and the target permeability equation is used for predicting the permeability of the target reservoir at least at one depth.
9. An electronic device comprising a processor and a memory communicatively coupled to the processor; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored by the memory to implement the reservoir permeability processing method of any one of claims 1-7.
10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are for implementing the reservoir permeability processing method of any one of claims 1 to 7.

Description

Reservoir permeability processing method, device, equipment and readable storage medium Technical Field The present application relates to the field of reservoir evaluation technologies, and in particular, to a method, an apparatus, a device, and a readable storage medium for reservoir permeability processing. Background In oil and gas exploration, permeability is an important index reflecting the fluid flow capacity of pores in a rock, and the permeability of the rock at different depths of a reservoir can represent the permeability of the reservoir at different depths, so that the oil and gas output in the reservoir at different depths can be reflected. The reservoir permeability prediction precision is a key of reservoir estimation, reservoir description and residual oil quantitative description, and has great significance on petrophysical and reservoir evaluation research. At present, a common method for calculating the permeability of a reservoir based on a nuclear magnetic resonance logging technology is mostly derived based on a single pore structure characterization method, but the method has lower permeability prediction precision in reservoirs with complex pore structures such as compact sandstone. Disclosure of Invention The application provides a reservoir permeability processing method, device, equipment and readable storage medium, which are used for solving the problem of low permeability prediction precision in a reservoir with a complex pore structure. In a first aspect, the present application provides a reservoir permeability processing method, comprising: Obtaining experimental porosity, experimental permeability, experimental irreducible water saturation and nuclear magnetic resonance T2 spectra of N rock samples of a sample reservoir, wherein N is an integer greater than or equal to 2, and the T2 spectra are obtained by performing saturated water rock sample nuclear magnetic resonance experiments on the rock samples; acquiring first pore structure characterization parameters corresponding to the rock samples according to the experimental porosity and experimental permeability of the rock samples, wherein the first pore structure characterization parameters are used for describing the pore structure of the rock samples from the porosity angle of the rock samples; acquiring effective seepage porosity of each rock sample according to experimental porosity, experimental irreducible water saturation and nuclear magnetic resonance T2 spectrum of each rock sample; Acquiring second pore structure characterization parameters corresponding to the rock samples according to the experimental permeability and the effective seepage porosity of the rock samples, wherein the second pore structure characterization parameters are used for describing the pore structure of the rock samples from the effective seepage porosity angle of the rock samples; Obtaining coefficients of a permeability equation according to the first pore structure representation parameters and the second pore structure representation parameters corresponding to the rock samples, wherein the permeability equation is used for representing the mapping relation among the porosity, the effective seepage porosity and the permeability; Substituting the acquired coefficient of the permeability equation into the permeability equation to obtain a target permeability equation, wherein the target permeability equation is used for predicting the permeability of a target reservoir layer at least at one depth. Optionally, the obtaining the first pore structure characterization parameter corresponding to each rock sample according to the experimental porosity and the experimental permeability of each rock sample includes: acquiring first pore structure characterization parameters corresponding to the rock samples according to the experimental porosity and experimental permeability of the rock samples and a first pore structure characterization formula; the first pore structure characterization formula is: Wherein f is a first pore structure characterization parameter of the rock sample, K is an experimental permeability of the rock sample, phi is an experimental porosity of the rock sample, K max is a preset maximum permeability of the rock sample, and phi max is a preset maximum porosity of the rock sample. Optionally, the obtaining the effective seepage porosity of each rock sample according to the experimental porosity, the experimental irreducible water saturation and the nuclear magnetic resonance T2 spectrum of each rock sample includes: Acquiring the porosity of the large-aperture pores in each rock sample according to the nuclear magnetic resonance T2 spectrum of each rock sample and a porosity calculation formula of the large-aperture pores; Obtaining effective seepage porosity of each rock sample according to an experimental porosity, experimental irreducible water saturation, porosity of a large-aperture pore and an effective seepage por