CN-122017971-A - Dynamic-static combined CO2 migration monitoring and safety early warning method, equipment and storage medium

CN122017971ACN 122017971 ACN122017971 ACN 122017971ACN-122017971-A

Abstract

The invention discloses a dynamic and static combination Migration monitoring and safety early warning methods, equipment and storage media relate to the technical field of oil and gas field development and engineering monitoring. The method comprises the steps of constructing a static geologic model based on three-dimensional seismic exploration data and non-seismic geophysical data, wherein geological risk factors are obtained through multidimensional analysis on the static geologic model, constructing a dynamic geologic model based on time-lapse well vertical seismic profile data and microseism data, wherein dynamic parameters are obtained through multidimensional analysis on the dynamic geologic model, fusing the static geologic model and the dynamic geologic model, and performing joint inversion to generate Migration path model to predict Setting comprehensive early warning threshold value, and triggering grading early warning when dynamic parameter exceeds the threshold value. The invention realizes the alignment of Accurate prediction of migration paths and active early warning of sealing safety.

Inventors

CAI ZHIDONG
ZHANG JIANJUN
WANG XIAOHUI
XIA SHUJUN
LIN JUAN
ZHOU DONGYAN
LIU WEI
LIU BENJING
YANG LIN

Assignees

中油奥博(成都)科技有限公司

Dates

Publication Date: 20260512
Application Date: 20260128

Claims (10)

1. Dynamic and static combined type The migration monitoring and safety early warning method is characterized by comprising the following steps of: Constructing a static geologic model based on three-dimensional seismic exploration data and non-seismic geophysical data, wherein geologic risk factors are obtained by carrying out multidimensional analysis on the static geologic model; Based on time-lapse well vertical seismic section data and microseism data, a dynamic geologic model is constructed, wherein dynamic parameters are obtained by carrying out multidimensional analysis on the dynamic geologic model, and the dynamic parameters comprise: based on the spatial distribution characteristic parameters of earthquake in the time-shift well, Spatial distribution characteristic parameters based on microseismic events; fusing the static geologic model and the dynamic geologic model and performing joint inversion to generate Migration path model to predict A direction of migration; Setting a comprehensive early warning threshold value, and based on the dynamic geologic model Triggering hierarchical early warning when the dynamic parameters obtained by the migration path model exceed the comprehensive early warning threshold value.
2. The method of claim 1, wherein prior to constructing the static geologic model based on the three-dimensional seismic survey data and the non-seismic geophysical data, the method further comprises: Extracting coherence attribute of the three-dimensional seismic data, and taking the data meeting the coherence attribute requirement as the three-dimensional seismic exploration data; And extracting the space geological feature data from the original non-seismic geophysical data by using a geophysical method, and taking the space geological feature data as the non-seismic geophysical data.
3. The method of claim 1, wherein deriving dynamic parameters by multi-dimensional analysis of the dynamic geologic model comprises: acquiring the time-lapse well vertical seismic profile data based on the time-lapse well vertical seismic profile data using the dynamic geologic model Based on the spatial distribution characteristic parameters of the earthquake in the time-lapse well; acquiring the microseismic monitoring data based on the dynamic geologic model Based on the spatial distribution characteristic parameters of the microseismic events.
4. A method according to any one of claims 1 to 3, wherein the static geologic model is fused with the dynamic geologic model and subjected to joint inversion to produce Migration path model to predict The direction of migration, comprising: The dynamic geologic model is to be acquired Time-lapse well seismic based spatial distribution characteristic parameters, said Integrating the spatial distribution characteristic parameters based on the microseismic events into the static geological model; Taking the time-lapse well vertical seismic section data as a constraint condition, inverting the static geologic model to generate An migration path model; Based on the following Migration path model, prediction Dominant channels of migration and leading edge location.
5. The method of claim 1, wherein a comprehensive pre-warning threshold is set and based on the dynamic geologic model Triggering hierarchical early warning when the dynamic parameters obtained by the migration path model exceed the comprehensive early warning threshold value, wherein the method comprises the following steps: Setting the comprehensive early warning threshold based on the geological risk factors and the dynamic prediction results of the dynamic parameters; Based on the dynamic geologic model And triggering grading early warning and outputting monitoring data under the condition that the value of the dynamic parameter obtained by the migration path model is larger than the comprehensive early warning threshold value.
6. The method of claim 5, further comprising feeding back the monitoring data to the static geologic model to dynamically update the static geologic model.
7. Dynamic and static combined type Migration monitoring and safety precaution device, characterized in that it comprises: The static geologic model construction module is used for constructing a static geologic model based on three-dimensional seismic exploration data and non-seismic geophysical data, wherein geologic risk factors are obtained by carrying out multidimensional analysis on the static geologic model; the dynamic geologic model construction module is used for constructing a dynamic geologic model based on time-lapse well vertical seismic section data and microseism data, wherein the dynamic geologic model is subjected to multidimensional analysis to obtain dynamic parameters, and the dynamic parameters comprise: based on the spatial distribution characteristic parameters of earthquake in the time-shift well, Spatial distribution characteristic parameters based on microseismic events; The migration path model construction module is used for fusing the static geologic model and the dynamic geologic model and performing joint inversion to generate Migration path model to predict A direction of migration; The grading early warning module is used for setting a comprehensive early warning threshold value and based on the dynamic geologic model Triggering hierarchical early warning when the dynamic parameters obtained by the migration path model exceed the comprehensive early warning threshold value.
8. Dynamic and static combined type Migration monitoring and safety precaution device, characterized in that it comprises: At least one processor; at least one memory coupled to the at least one processor and storing instructions for execution by the at least one processor, the instructions when executed by the at least one processor implementing the method of any one of claims 1 to 6.
9. A computer readable storage medium storing instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 6.
10. A computer program product, characterized in that it comprises instructions which, when executed by a computer, cause the computer to perform the method according to any of claims 1 to 6.

Description

Dynamic-static combined CO2 migration monitoring and safety early warning method, equipment and storage medium Technical Field The invention relates to the technical field of oil and gas field development and engineering monitoring, in particular to a dynamic and static combination methodMigration monitoring and safety early warning methods, devices and storage media. Background Geological sequestration is a key means to mitigate greenhouse effect, but its long-term safety is highly dependent on the presence of underground sequestrationAccurate grasp of migration behavior. The conventional monitoring technology is generally applied independently, and has obvious limitations that firstly, the static model is insufficient in precision, the static model constructed by only relying on three-dimensional earthquake is limited in precision under complex geological conditions, non-seismic data (such as electromagnetism and gravity) are not integrated, key geological structures such as fault systems and the like are difficult to comprehensively describe, secondly, dynamic monitoring is isolated, earthquake and microseism monitoring in a time-lapse well can effectively capture dynamic information, but the constraint of a high-precision static background model is lacking, interpretation multi-resolution is strong, and accurate description is difficult to carry outAnd thirdly, the early warning capability is insufficient, a depth fusion mechanism of dynamic and static data is lacked in the traditional method, a closed loop from monitoring to early warning cannot be established, and active prevention and control of geological risks such as natural fracture are difficult. In a word, the existing time-lapse seismic or well seismic methods have certain technical defects, mainly have limitations of a single method, static seismic data cannot reflect time sequence changes, dynamic monitoring lacks support of a static background model, so that interpretation polynomials are strong, and deep fusion is not realized by simple superposition of multiple methods. Disclosure of Invention The invention aims at the prior artThe interpretation of the motion monitoring technology has stronger multi-resolution, and the problems of the simple superposition of multiple methods, no deep fusion and the like are solved, thereby providing a dynamic-static combinationMigration monitoring and safety early warning method, migration monitoring and safety early warning equipment, storage medium and program product, and implementation of migration monitoring and safety early warning methodAccurate prediction of migration paths and active early warning of sealing safety. The invention is realized by the following technical scheme. In a first aspect, the present invention provides a dynamically and dynamically combinedAn migration monitoring and safety pre-warning method, the method comprising: Constructing a static geologic model based on three-dimensional seismic exploration data and non-seismic geophysical data, wherein geologic risk factors are obtained by carrying out multidimensional analysis on the static geologic model; Based on time-lapse well vertical seismic section data and microseism data, a dynamic geologic model is constructed, wherein dynamic parameters are obtained by carrying out multidimensional analysis on the dynamic geologic model, and the dynamic parameters comprise: based on the spatial distribution characteristic parameters of earthquake in the time-shift well, Spatial distribution characteristic parameters based on microseismic events; fusing the static geologic model and the dynamic geologic model and performing joint inversion to generate Migration path model to predictA direction of migration; Setting a comprehensive early warning threshold value, and based on the dynamic geologic model Triggering hierarchical early warning when the dynamic parameters obtained by the migration path model exceed the comprehensive early warning threshold value. In some embodiments, prior to constructing the static geologic model based on the three-dimensional seismic survey data and the non-seismic geophysical data, the method further comprises: Extracting coherence attribute of the three-dimensional seismic data, and taking the data meeting the coherence attribute requirement as the three-dimensional seismic exploration data; And extracting the space geological feature data from the original non-seismic geophysical data by using a geophysical method, and taking the space geological feature data as the non-seismic geophysical data. In some embodiments, the obtaining the dynamic parameters by multi-dimensional analysis of the dynamic geologic model includes: acquiring the time-lapse well vertical seismic profile data based on the time-lapse well vertical seismic profile data using the dynamic geologic model Based on the spatial distribution characteristic parameters of the earthquake in the time-lapse well; acquiring the microseismic monitor