CN-121995463-A - Compact sandstone rock physical modeling method and related equipment

CN121995463ACN 121995463 ACN121995463 ACN 121995463ACN-121995463-A

Abstract

The embodiment of the application provides a compact sandstone petrophysical modeling method and related equipment, belonging to the technical field of exploration of petrophysical geography. The method comprises the steps of obtaining core data, logging data, petrophysical parameters and reservoir conditions, wherein the petrophysical parameters comprise mineral components, porosity and permeability, the reservoir conditions comprise stratum temperature and stratum pressure, the dry skeleton bulk modulus and the dry skeleton shear modulus of compact sandstone are obtained through calculation of a VRH model according to the petrophysical parameters, the mixed fluid is mixed with the dry skeleton through a SCA model to obtain the static modulus of saturated rock, and the longitudinal and transverse wave speed is obtained through calculation of a BISQ model according to the static modulus of saturated rock. The method and the device can improve the reliability of predicting the speed and attenuation of the seismic waves, and provide theoretical basis and calculation support for unconventional reservoir seismic response analysis and petrophysical parameter inversion.

Inventors

LI HUA
FANG XIAOYU
SUN YUECHENG
LI WEIDING
Lv Yanxin
ZHANG YAJIE
YANG PU

Assignees

南方海洋科学与工程广东省实验室(湛江)

Dates

Publication Date: 20260508
Application Date: 20251226

Claims (10)

1. A method of compact sandstone petrophysical modeling, the method comprising the steps of: acquiring core data, logging data, petrophysical parameters including mineral composition, porosity and permeability, and reservoir conditions including formation temperature and formation pressure; calculating according to the petrophysical parameters through a VRH model to obtain a dry skeleton bulk modulus and a dry skeleton shear modulus of the compact sandstone, and mixing the mixed fluid with the dry skeleton through a SCA model to obtain a static modulus of the saturated rock; and calculating according to the static modulus of the saturated rock through BISQ model to obtain the longitudinal and transverse wave speed.
2. The method of claim 1, wherein the obtaining core data, logging data, petrophysical parameters, and reservoir conditions comprises: Acquiring the core data, the logging data and the petrophysical parameters; determining a fluid type and a fluid physical parameter; determining the reservoir conditions; Wherein the physical parameters of the fluid comprise fluid density, fluid viscosity and fluid bulk modulus.
3. The method for modeling compact sandstone petrophysical according to claim 1, wherein the calculating by VRH model according to the petrophysical parameters to obtain the bulk modulus of the dry skeleton and the shear modulus of the dry skeleton of the compact sandstone, mixing the mixed fluid with the dry skeleton by SCA model to obtain the static modulus of the saturated rock comprises: Adding the mineral components through a VRH model, mixing the mineral components, and obtaining the volume fraction of the mineral components; calculating according to the mineral components and the volume fraction to obtain the dry skeleton bulk modulus and the dry skeleton shear modulus of the compact sandstone; And mixing the mixed fluid with the dry skeleton through an SCA model to obtain the static modulus of the saturated rock.
4. A method of physical modeling of tight sandstone rock according to claim 3, wherein said mineral components include quartz, calcite, clay, etc.
5. A method of compact sandstone petrophysical modeling according to claim 3, wherein said mixing said fluid after mixing with said dry skeleton by means of a SCA model to obtain said static modulus of said saturated rock comprises: mixing the mixed fluid with the dry skeleton through an SCA model to obtain a saturated rock bulk modulus and a saturated rock shear modulus of the saturated rock; and calculating according to the saturated rock bulk modulus and the saturated rock shear modulus through a Gassmann equation to obtain the skeleton bulk modulus and the skeleton shear modulus of the saturated rock.
6. The method of claim 1, wherein said calculating by BISQ model from said static modulus of said saturated rock to obtain longitudinal and transverse wave velocities comprises: Calculating according to the static modulus of the saturated rock through BISQ model to obtain frequency-related solid matrix bulk modulus and solid matrix shear modulus under the combined action of macroscopic Biot flow and microscopic jet flow; calculating according to the solid matrix bulk modulus and the solid matrix shear modulus through an SCA model to obtain frequency-dependent rock bulk modulus and frequency-dependent rock shear modulus; Calculating according to the frequency-dependent rock bulk modulus and the frequency-dependent rock shear modulus through a Gassmann equation to obtain a frequency-dependent skeleton bulk modulus and a frequency-dependent skeleton shear modulus; and establishing a layered plaque saturation model, inputting the frequency-related framework bulk modulus and the frequency-related framework shear modulus into the layered plaque saturation model, and calculating the dispersion change caused by mesoscopic wave mass flow to obtain the longitudinal and transverse wave velocity.
7. A tight sandstone petrophysical modeling device, the device comprising: The system comprises a related parameter acquisition module, a control module and a control module, wherein the related parameter acquisition module is used for acquiring core data, logging data, petrophysical parameters and reservoir conditions, wherein the petrophysical parameters comprise mineral components, porosity and permeability; the static modulus building module is used for calculating according to the rock physical parameters through a VRH model to obtain the dry skeleton bulk modulus and the dry skeleton shear modulus of the compact sandstone, and mixing the mixed fluid with the dry skeleton through a SCA model to obtain the static modulus of the saturated rock; and the coupling model calculation module is used for calculating according to the static modulus of the saturated rock through BISQ model to obtain the longitudinal and transverse wave speed.
8. An electronic device comprising a memory storing a computer program and a processor implementing the method of any of claims 1 to 6 when the computer program is executed by the processor.
9. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the method of any one of claims 1 to 6.

Description

Compact sandstone rock physical modeling method and related equipment Technical Field The application relates to the technical field of exploration rock geophysics, in particular to a compact sandstone petrophysical modeling method and related equipment. Background Along with the exploration and development of unconventional oil gas, the tight rock pore and crack structure is complex, becomes the difficulty of petrophysical modeling and earthquake prediction, and has very important significance for predicting reservoir elastic parameters by constructing a petrophysical model. The fluctuation propagation characteristics of the reservoir show remarkable multi-scale dispersion and attenuation effects that fluid exchange is mainly controlled by jet flow due to poor pore connectivity on a microscopic scale, the fluid exchange is represented by high-frequency velocity dispersion and energy loss, and the fluid migration in a crack-pore system induces additional dispersion and attenuation on a mesoscale, so that the response characteristics of a wave field are changed. The existing petrophysical model is mostly based on single fluid or single-scale assumption, and is difficult to simultaneously describe multi-scale coupling effects among frameworks, pores, cracks and fluids, so that deviation exists between the longitudinal and transverse wave speeds predicted by the model and actual logging and experimental data, and the model is particularly outstanding in high-frequency band performance. This deficiency severely limits the accuracy of seismic data application in reservoir prediction, hydrocarbon detection and carbon sequestration monitoring. Therefore, a multi-scale rock physical modeling method capable of comprehensively considering macroscopic Biot flow and microscopic jet flow mechanisms is constructed, and the multi-band wave velocity dispersion and attenuation characteristics of the tight sandstone reservoir are simulated, so that the method has very important significance in predicting the elastic parameters of the reservoir. The method can reflect the wave propagation rule under the complex pore structure in the rock and also provides a more reliable theoretical basis for seismic attribute inversion. Disclosure of Invention The embodiment of the application mainly aims to provide a compact sandstone petrophysical modeling method and related equipment, which can improve the reliability of predicting the speed and attenuation of earthquake waves and provide theoretical basis and calculation support for unconventional reservoir earthquake response analysis and petrophysical parameter inversion. To achieve the above object, an aspect of an embodiment of the present application provides a compact sandstone petrophysical modeling method, the method comprising: Acquiring core data, logging data, petrophysical parameters including mineral composition, porosity and permeability, and reservoir conditions including formation temperature and formation pressure; Calculating according to rock physical parameters through a VRH model to obtain a dry skeleton bulk modulus and a dry skeleton shear modulus of the compact sandstone, and mixing the mixed fluid with the dry skeleton through a SCA model to obtain a static modulus of the saturated rock; and calculating according to the static modulus of the saturated rock through BISQ model to obtain the longitudinal and transverse wave speeds. In some embodiments, acquiring core data, logging data, petrophysical parameters, and reservoir conditions, comprises: acquiring core data, logging data and petrophysical parameters; determining a fluid type and a fluid physical parameter; determining reservoir conditions; the physical parameters of the fluid comprise fluid density, fluid viscosity and fluid bulk modulus. In some embodiments, the dry skeleton bulk modulus and the dry skeleton shear modulus of the tight sandstone are obtained by calculation of the VRH model according to petrophysical parameters, and the mixed fluid is mixed with the dry skeleton by the SCA model to obtain the static modulus of the saturated rock, comprising: Adding mineral components through a VRH model, and mixing the mineral components to obtain the volume fraction of the mineral components; According to mineral components and volume fraction, calculating to obtain the dry skeleton bulk modulus and the dry skeleton shear modulus of the compact sandstone; and mixing the mixed fluid with a dry skeleton through an SCA model to obtain the static modulus of the saturated rock. In some embodiments, the mineral component includes quartz, calcite, clay, and the like. In some embodiments, mixing the mixed fluid with the dry skeleton by the SCA model results in a static modulus of the saturated rock, comprising: Mixing the mixed fluid with a dry skeleton through an SCA model to obtain a saturated rock bulk modulus and a saturated rock shear modulus of the saturated rock; And calculating according to the saturated