CN-121998787-A - Rock reservoir average porosity estimation method, electronic equipment and storage medium

CN121998787ACN 121998787 ACN121998787 ACN 121998787ACN-121998787-A

Abstract

The invention discloses a rock reservoir average porosity estimation method, electronic equipment and a storage medium, wherein the method comprises the steps of obtaining the maximum effective porosity, the minimum effective porosity and the average porosity of a plurality of existing well target reservoirs around a research work area, and calculating the maximum arithmetic average porosity of the maximum effective porosity and the minimum effective porosity of each existing well target reservoir; and substituting the calculated maximum arithmetic average porosity of the maximum effective porosity and the minimum effective porosity of the target reservoir of the research work area into the corresponding functional relation formula to calculate the average porosity of the target reservoir of the research work area. The method can accurately estimate the porosity of the target reservoir of the research work area under the condition that only the maximum effective porosity and the minimum effective porosity in the rock reservoir sample of the research work area are researched.

Inventors

DAI MINGGANG
HE TINGTING
ZHANG HUI

Assignees

中国石油化工集团有限公司
中国石化集团新星石油有限责任公司

Dates

Publication Date: 20260508
Application Date: 20241108

Claims (10)

1. A method of estimating average porosity of a rock reservoir, comprising: Obtaining the maximum effective porosity, the minimum effective porosity and the average porosity of a plurality of existing well target reservoirs around a research work area, and calculating the maximum arithmetic average porosity of the maximum effective porosity and the minimum effective porosity of each existing well target reservoir; defining a corresponding average porosity-maximum arithmetic average porosity function relation formula according to lithology of a target reservoir; Fitting and solving a correlation coefficient in a corresponding function relation formula based on the average porosity and the highest arithmetic average porosity of a plurality of existing well target reservoirs; calculating the maximum effective porosity and the minimum effective porosity of the target reservoir in the research work area; and substituting the calculated maximum arithmetic average porosity of the target reservoir of the research work area into a corresponding functional relation formula according to the lithology of the target reservoir of the research work area, and calculating the average porosity of the target reservoir of the research work area.
2. The rock reservoir average porosity estimation method of claim 1, wherein defining the corresponding average porosity-to-maximum arithmetic average porosity function formula according to the lithology of the target reservoir comprises: When the lithology of the target reservoir is sandstone thermal storage, the functional relation formula is as follows: Wherein, the In order to achieve an average degree of porosity, The arithmetic mean porosity is the highest value, A, B is the correlation coefficient.
3. The method of estimating the average porosity of a rock reservoir according to claim 1, wherein defining the corresponding average porosity-to-maximum arithmetic average porosity function formula according to the lithology of the target reservoir further comprises: when the lithology of the target reservoir is limestone or dolomite, the functional relation is: Wherein, the In order to achieve an average degree of porosity, The arithmetic mean porosity is the highest value, A, B, a, b, c is the correlation coefficient.
4. The rock reservoir average porosity estimation method according to claim 1, wherein when the minimum effective porosity of the investigation region target reservoir is not obtained, a lower limit value of the general porosity of the investigation region target reservoir rock is taken as the minimum effective porosity.
5. The method of estimating the average porosity of a rock reservoir according to claim 1, wherein the lithology of the existing well target reservoir around the research site is the same as the lithology of the research site target reservoir.
6. The method of claim 5, wherein the target formation of the research site is a contemporaneous lithology formation.
7. The method of estimating the average porosity of a rock reservoir according to claim 1, wherein the porosity data of a plurality of existing well target reservoirs around the perimeter of the research work area and the porosity data of the research work area target reservoirs conform to a normal distribution.
8. The rock reservoir average porosity estimation method of claim 1, wherein the maximum effective porosity and the minimum effective porosity are calculated as the arithmetic average porosity by the following equation: Wherein, the As the arithmetic mean porosity of the most value, For the maximum effective porosity to be the most effective, Is the minimum effective porosity.
9. An electronic device, the electronic device comprising: At least one processor, and A memory communicatively coupled to the at least one processor, wherein, The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the rock reservoir average porosity estimation method of any one of claims 1-8.
10. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the rock reservoir average porosity estimation method of any one of claims 1-8.

Description

Rock reservoir average porosity estimation method, electronic equipment and storage medium Technical Field The present invention relates to the field of geological geophysics, and more particularly to a rock reservoir average porosity estimation method, an electronic device and a storage medium. Background At present, domestic hydrothermal geothermal resource exploration and development are rapid, and the average porosity of thermal storage is an important petrophysical parameter for geothermal exploration and development. If the logging information of the first hand drilling in the research area can be mastered, the more accurate average porosity of the thermal storage can be obtained naturally. However, what is typically collected is second hand versus most hand data, often without relatively accurate average porosity value information for the target rock reservoir, only the maximum effective porosity and minimum effective porosity values, and even only the maximum effective porosity, of the target rock reservoir in that region. In this case, it is often simple to use the generic average porosity value directly, so that the average porosity of the area under investigation is generally more error-prone than the actual average porosity, which is only a benefit measure. Disclosure of Invention The invention aims to provide a rock reservoir average porosity estimation method, electronic equipment and a storage medium, which are used for accurately estimating the porosity of a target reservoir in a research work area under the condition that only the maximum effective porosity and the minimum effective porosity in a rock reservoir sample in the research work area are known. To achieve the above object, in a first aspect, the present invention provides a method for estimating average porosity of a rock reservoir, including: Obtaining the maximum effective porosity, the minimum effective porosity and the average porosity of a plurality of existing well target reservoirs around a research work area, and calculating the maximum arithmetic average porosity of the maximum effective porosity and the minimum effective porosity of each existing well target reservoir; defining a corresponding average porosity-maximum arithmetic average porosity function relation formula according to lithology of a target reservoir; Fitting and solving a correlation coefficient in a corresponding function relation formula based on the average porosity and the highest arithmetic average porosity of a plurality of existing well target reservoirs; calculating the maximum effective porosity and the minimum effective porosity of the target reservoir in the research work area; and substituting the calculated maximum arithmetic average porosity of the target reservoir of the research work area into a corresponding functional relation formula according to the lithology of the target reservoir of the research work area, and calculating the average porosity of the target reservoir of the research work area. Optionally, defining a corresponding average porosity-to-maximum arithmetic average porosity function formula according to the lithology of the target reservoir, comprising: When the lithology of the target reservoir is sandstone thermal storage, the functional relation formula is as follows: Wherein, the In order to achieve an average degree of porosity,The arithmetic mean porosity is the highest value, A, B is the correlation coefficient. Optionally, defining a corresponding average porosity-to-maximum arithmetic average porosity function formula according to the lithology of the target reservoir, further comprising: when the lithology of the target reservoir is limestone or dolomite, the functional relation is: Wherein, the In order to achieve an average degree of porosity,The arithmetic mean porosity is the highest value, A, B, a, b, c is the correlation coefficient. Alternatively, when the minimum effective porosity of the investigation region target reservoir is not available, the lower limit value of the general porosity of the investigation region target reservoir rock is taken as the minimum effective porosity. Alternatively, the lithology of the existing well target reservoir around the research work area is the same as the lithology of the research work area target reservoir. Optionally, the investigation region target formation is a contemporaneous lithologic formation. Optionally, the porosity data of the plurality of existing well target reservoirs surrounding the research work area and the porosity data of the research work area target reservoirs conform to a normal distribution. Alternatively, the arithmetic mean porosity of the maximum and minimum effective porosities is calculated by the following formula: Wherein, the As the arithmetic mean porosity of the most value,For the maximum effective porosity to be the most effective,Is the minimum effective porosity. In a second aspect, the present invention proposes an electroni