CN113253343B - Method for identifying fault activity of underground gas storage based on microseism monitoring technology - Google Patents
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- 230000000694 effects Effects 0.000 title claims abstract description 39
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 24
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- 238000005516 engineering process Methods 0.000 title claims abstract description 10
- 238000004220 aggregation Methods 0.000 claims abstract description 6
- 230000002776 aggregation Effects 0.000 claims abstract description 6
- 238000007789 sealing Methods 0.000 abstract description 7
- 238000002347 injection Methods 0.000 abstract description 4
- 239000007924 injection Substances 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 2
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- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
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- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
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- G01V2210/00—Details of seismic processing or analysis
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Abstract
The invention provides a method for identifying fault activity of an underground gas storage based on a microseism monitoring technology, which comprises the following steps: 1) inputting a microseism positioning result and attribute information; 2) dividing the microseism events into R clusters according to the aggregation degree of the microseism events in the step 1); 3) calculating the b value of each cluster of microseism events according to the clustering condition in the step 2); 4) calculating the D value of each cluster of microseism events according to the clustering condition in the step 2); 5) and calculating the fault activity index F according to the result of the b value in the step 3) and the result of the D value in the step 4). The method is based on the microseism monitoring result, calculates the fault activity index of different cluster microseism events by using the attribute information of the microseism events, effectively identifies the fault activity in the injection and production operation process of the underground gas storage, can effectively prevent the fault activity sealing failure risk of the gas storage, and ensures the safe operation of the gas storage.
Description
Technical Field
The invention relates to a method for processing and explaining microseism data in gas storage safety monitoring and geophysical exploration, in particular to a method for identifying fault activity of an underground gas storage based on a microseism monitoring technology.
Background
The underground gas storage has no replaceable function and obvious advantages in the aspects of energy strategy and winter peak regulation to ensure the safe gas utilization of the civil life. The complex fault development of the geological structure of the domestic gas storage, and the gas storage has the characteristics of multi-cycle forced injection and forced extraction, alternating stress change and the like, and fault activity can be induced in the long-term injection and extraction process to cause the fault sealing failure of the gas storage and natural gas leakage accidents.
The fault tightness of the gas storage is a key factor for safe operation of the gas storage. Therefore, the gas storage construction strength is accelerated, and simultaneously, a gas storage fault monitoring system is continuously perfected, so that the safe construction and operation of the gas storage are guaranteed. At present, the safety monitoring of the fault of the gas storage is mainly carried out by two monitoring modes: firstly, monitoring is carried out by utilizing parameters such as temperature, pressure and fluid components, monitoring wells are arranged on two sides of a fault to monitor the parameters such as the temperature, the pressure and the fluid components, and when the parameters on the two sides of the fault are more and more the same, the fault sealing failure risk is considered to exist. Secondly, monitoring by using a tracer, injecting the tracer into the gas storage on one side of the fault, and if the same tracer is identified in the monitoring well on the other side of the fault outside the gas storage, determining that the fault sealing performance is invalid. The two monitoring modes have problems, namely the monitoring range is small, the fault tightness around the monitoring well can be monitored only, and when the monitored parameters reflect the problems, the fault tightness fails.
Disclosure of Invention
The invention aims to identify fault activities of an underground gas storage by using a microseism monitoring technology, avoid failure of fault tightness in the operation process of the gas storage, ensure safe operation of the gas storage and provide a method for identifying fault activities by using the microseism monitoring technology. The method utilizes the microseism monitoring technology to monitor the activity of the underground city of the gas storage in real time, accurately identifies the fault activity according to the distribution position and the related attributes of the microseism monitoring event positioning result, and can timely take related measures according to the fault activity condition in the later period to avoid fault sealing failure and ensure the safe operation of the gas storage.
The specific technical scheme is as follows:
the method for identifying the fault activity of the underground gas storage based on the microseism monitoring technology comprises the following steps:
1) inputting a microseism positioning result and attribute information;
2) dividing the microseism events into R clusters according to the aggregation degree of the microseism events in the step 1);
3) calculating the b value of each cluster of microseism events according to the clustering condition in the step 2);
4) calculating the D value of each cluster of microseism events according to the clustering condition in the step 2);
5) and calculating the fault activity index F according to the result of the b value in the step 3) and the result of the D value in the step 4).
Further, the method comprises the following steps:
1) inputting the microseism positioning result and the attribute information (x)i，yi，zi，Ti，Mi)；
Wherein (x)i，yi，zi) Inverting spatial location coordinates, T, for microseismic eventsiGenerating time for microseismic events, MiFor the magnitude of the microseismic event, i belongs to [1, N ∈]N is the positioning number of the microseism events;
2) dividing the microseism events into R clusters according to the aggregation degree of the microseism events in the step 1); r is the number of clusters, SjFor the number of microseism events in each cluster, j belongs to [1, R ]]，
3) Calculating the b value of each cluster of microseism events according to the clustering condition in the step 2), bjFor the j-th micro-seismic event b value, j belongs to [1, R ]]；
log N＝a-bM
In the formula: m is the microseism magnitude, N is the number of the microseism events of which the microseism magnitude is larger than M; a is a constant; b is the slope of magnitude and log of events at different magnitudes;
4) calculating the D value and D value of each cluster of microseism events according to the clustering condition of the step 2)jFor the j-th micro-seismic event D value, j belongs to [1, R ]]；
C(r)∝rD
Wherein R is the microseism event distance, N is the number of microseism events when R is less than R, and D is the D value of the microseism event;
5) calculating a fault activity index F according to the result of the value b in the step 3) and the result of the value D in the step 4);
Fj＝(|bj-1|+|Dj-2|)/2
wherein FjIs the fault activity index of the j-th micro-seismic event, when FjAnd when the number of the micro-seismic events is less than a certain constant c, the j clusters of micro-seismic events are considered to be fault activities.
The fault activity detection method can effectively identify the fault activity of the gas storage, avoid the fault sealing failure risk of the gas storage and ensure the safe operation of the gas storage.
The invention provides a method for identifying fault activities of an underground gas storage based on a microseism monitoring technology, which is based on microseism monitoring results, utilizes microseism event attribute information to calculate fault activity indexes of different cluster groups of microseism events, effectively identifies fault activities in the injection and production operation process of the underground gas storage, can effectively prevent the fault activity sealing failure risk of the underground gas storage and ensures the safe operation of the gas storage.
Description of the drawings:
FIG. 1 is a diagram of microseismic location and clustering results; the abscissa is the model X coordinate (unit: m); the ordinate is the model Y coordinate (unit: m), the size of the sphere represents the magnitude of the microseismic event, and the microseismic event is divided into 1 cluster because of more concentrated distribution.
FIG. 2 is a b-value calculation of a microseismic event; the magnitude of the abscissa (unit: Lei) and the number of microseismic events (unit: one) are the ordinate.
FIG. 3 is a D-value calculation of a microseismic event; the transverse distance r is logarithmic (unit: none), and the ordinate is the microseismic event distribution rule C (r) logarithmic (unit: none).
FIG. 4 is a graph of microseismic event fault activity index calculations; the abscissa is the cluster number (no units) and the ordinate is the microseismic event fault activity index F value (no units). The dashed black line is the value of a constant c, and when F < c, the cluster of microseismic events is identified as fault activity.
Detailed Description
The process of the invention comprises the following steps:
1) inputting the microseism positioning result and the attribute information (x)i，yi，zi，Ti，Mi)；
Wherein (x)i，yi，zi) Inverting spatial location coordinates, T, for microseismic eventsiGenerating time for microseismic events, MiFor the magnitude of the microseismic event, i belongs to [1, N ∈]N is the positioning number of the microseism events;
2) dividing the microseism events into R clusters according to the aggregation degree of the microseism events in the step 1); r is the number of clusters, SjFor the number of microseism events in each cluster, j belongs to [1, R ]]，
FIG. 1 shows the positioning and clustering results of microseismic events. The microseismic events in the area are more concentrated, so the microseismic events are divided into a cluster for analysis and research.
3) Calculating the b value of each cluster of microseism events according to the clustering condition in the step 2), bjFor the j-th micro-seismic event b value, j belongs to [1, R ]]；
log N＝a-bM
In the formula: m is the microseism magnitude, N is the number of the microseism events with the microseism magnitude larger than M; a is a constant; b is the slope of magnitude and log of events of different magnitude;
fig. 2 shows the calculation result of the b value of the input micro-seismic event in step 1), and the b value of the cluster of micro-seismic events in this embodiment is 1.2.
4) Calculating the D value and D value of each cluster of microseism events according to the clustering condition of the step 2)jFor the j-th micro-seismic event D value, j belongs to [1, R ]]；
C(r)∝rD
Wherein R is the microseism event distance, N is the number of microseism events when R is less than R, and D is the D value of the microseism event;
fig. 3 is the calculation result of the D value of the input micro-seismic event in step 1), and the size of the D value of the micro-seismic event cluster is 2.02 in this embodiment.
5) Calculating a fault activity index F according to the result of the value b in the step 3) and the result of the value D in the step 4);
Fj＝(|bj-1|+|Dj-2|)/2
wherein FjIs the fault activity index of the j-th micro-seismic event, when FjAnd when the number of the micro-seismic events is less than a certain constant c, the j clusters of micro-seismic events are considered to be fault activities.
FIG. 4 shows the calculation results of the F values of the fault activity indexes of different clusters. According to the formula, the fault activity index of the input micro-seismic event is 0.11, the value of the constant c is 0.25, and the input micro-seismic event cluster is judged to be fault activity.
Claims (1)
1. The method for identifying the fault activity of the underground gas storage based on the microseism monitoring technology is characterized by comprising the following steps of:
1) inputting a microseism positioning result and attribute information;
2) dividing the microseism events into R clusters according to the aggregation degree of the microseism events in the step 1);
3) calculating the b value of each cluster of microseism events according to the clustering condition in the step 2);
4) calculating the D value of each cluster of microseism events according to the clustering condition in the step 2);
5) calculating a fault activity index F according to the result of the value b in the step 3) and the result of the value D in the step 4);
the method specifically comprises the following steps:
1) inputting the microseism positioning result and the attribute information (x)i，yi，zi，Ti，Mi)；
Wherein (x)i，yi，zi) Inverting spatial location coordinates, T, for microseismic eventsiGenerating time for microseismic events, MiFor the magnitude of the microseismic event, i belongs to [1, N ∈]N is the positioning number of the microseism events;
2) dividing the microseism events into R clusters according to the aggregation degree of the microseism events in the step 1); r is the number of clusters, SjFor the number of microseism events in each cluster, j belongs to [1, R ]]，
3) Calculating the b value of each cluster of microseism events according to the clustering condition in the step 2), bjFor the j-th micro-seismic event b value, j belongs to [1, R ]]；
log N＝a-bM
In the formula: m is the microseism magnitude, N is the number of the microseism events with the microseism magnitude larger than M; a is a constant; b is the slope of magnitude and log of events of different magnitude;
4) calculating the D value and D value of each cluster of microseism events according to the clustering condition of the step 2)jFor the j-th micro-seismic event D value, j belongs to [1, R ]]；
C(r)∝rD
Wherein R is the microseism event distance, N is the number of microseism events when R is less than R, and D is the D value of the microseism event;
5) calculating a fault activity index F according to the result of the value b in the step 3) and the result of the value D in the step 4);
Fj＝(|bj-1|+|Dj-2|)/2
wherein FjIs the fault activity index of the j-th micro-seismic event, when FjAnd when the number of the micro-seismic events is less than a certain constant c, the j clusters of micro-seismic events are considered to be fault activities.
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