| CPC G06Q 10/0633 (2013.01) [G06Q 50/02 (2013.01)] | 18 Claims |
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1. An apparatus for fracking optimization, wherein the apparatus comprises:
at least a sensing device, the sensing device configured to detect a reservoir datum;
at least a processor communicatively connected to the at least a sensing device; and
a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:
receive the reservoir datum from the at least a sensing device, wherein the reservoir datum comprises at least a ground motion during fracking;
convert the at least a ground motion into a voltage measurement, wherein the voltage measurement is a difference in electric potential between two points;
generate production training data as a function of a fracking simulation model, wherein the fracking simulation model is configured to calculate a fracture propagation using a linear elastic fracture mechanism, wherein the linear elastic fracture mechanism comprises a criteria comprising an evaluation of a plurality of reservoir datums, wherein the evaluation of a plurality of reservoir datums comprises:
a maximum tensile stress criterion;
a minimum strain energy density criterion;
a maximum principal strain criterion; and
a maximum strain criterion;
train a fracking optimization machine-learning model using the production training data;
determine an optimal production parameter as a function of the fracking optimization machine-learning model, wherein the optimal production parameter input comprises the reservoir datum and the output comprises the optimal production parameter; and
generate an optimal production plan as a function of the optimal production parameter.
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