This invention belongs to the field of oilfield development technology and discloses an electromagnetic monitoring fracture parameter identification method based on an improved marine predator
algorithm. This invention optimizes and implements the IMPA
algorithm, including improved
population initialization, optimized optimization parameters, and adaptive boundary condition constraints. The improved
population initialization uses a Sobol sequence to replace the traditional non-uniform random distribution
population initialization. Parameter optimization proposes a staged optimization with differential partitioning to replace the traditional three-stage optimization of the MPA
algorithm. Adaptive boundary condition constraints aim to discard local optimal solutions caused by parameter boundaries. A
hydraulic fracturing single-fracture length model and an
azimuth model are constructed. Electromagnetic monitoring involves supplying power to the fracturing
wellbore and measuring the
potential difference on the ground. The model forward modeling calculates the
potential difference anomalies observed at all surface measuring points under the constructed single-fracture model, achieving precise identification of the single-fracture length and
azimuth, thereby guiding the evaluation of
hydraulic fracturing effectiveness.