3 results about "Maximum magnitude" patented technology

The invention discloses a stochastic finite fault source model establishment method, which comprises the following steps of S1, determining a geometrical shape of a seismic fault based on regional geological data and seismic monitoring data, and estimating a non-planar fault parameter and a fault plane average sliding amount in combination with historical data and an empirical formula; s2, estimating distribution and sliding strength of concave-convex bodies and obstacles on the fault surface according to historical seismic inversion data, and obtaining the sliding amount of each sub-fault by randomly disturbing the average sliding amount; s3, the discrete fault plane serves as a sub-fault unit, and after an initial fracture point and the average fracture speed are determined, random fracture initial time conforming to normal or power law distribution is generated based on a random number method; s4, calculating the seismic oscillation time history of each sub-fault by adopting a random point source method, superposing contributions, introducing the influence of a shallow velocity structure V30, and generating a three-dimensional seismic oscillation field; and S5, comparing actual strong earthquake record adjustment parameters, and outputting a multi-risk-level earthquake motion parameter evaluation result after iterative optimization. According to the method, by fusing randomness and empirical data, the simulation precision of the seismic source model on the uncertainty of the seismic process is improved, the influence of the potential maximum-magnitude earthquake possibly occurring in the active fault zone in the future can be effectively estimated, the seismic oscillation simulation precision and the calculation efficiency can be improved, and the method is suitable for engineering structure aseismic design and seismic disaster evaluation.

The invention discloses a dry hot rock reservoir transformation method for controlling induced earthquakes, and relates to the field of enhanced geothermal system development, and the method comprises the following steps: S1, setting a regional induced earthquake threshold value through local induced earthquake environment bearing capacity evaluation or local management department requirements; s2, determining a known fault and fracture instability disturbance pressure by using the three-dimensional stress field, determining a fault of an upper limit magnitude of an induced area according to a fitting relationship between the magnitude and the fault length, determining an upper limit value of wellhead injection pressure, and adjusting the wellhead pressure in real time according to a relationship between the maximum injection magnitude and the injection pressure; s3, the maximum injection volume limit value is calculated, and the maximum injection volume limit value is adjusted in real time; s4, carrying out real-time comprehensive monitoring and analysis on the induced earthquake, the injection pressure and the injection volume, feeding back the relationship between the wellhead pressure and the maximum magnitude to S2, and feeding back the ratio of the earthquake b value, the accumulated earthquake moment and the injection volume to S3; and S5, controlling the wellhead pressure and the injection volume within the limit values calculated in real time in the S2 and S3 through measures of reducing the displacement, stopping the pump and reversely discharging.

This application discloses a method, apparatus, equipment, and medium for predicting the maximum magnitude of artificially fractured induced earthquakes, relating to the field of computer technology. It includes: acquiring historical earthquake data, historical geological data, and historical engineering data from a target location area to obtain target data; preprocessing the target data to obtain processed target data; training a deep learning model based on a multilayer perceptron and long short-term memory network using the processed target data to obtain a trained maximum magnitude prediction model; and inputting real-time geological data and real-time engineering data from the current target location area into the maximum magnitude prediction model to obtain the maximum magnitude prediction result output by the model. This enables accurate prediction of the maximum magnitude of artificially fractured induced earthquakes.