This article introduces the FCA (Filtration Capacitive Analysis) software suite, designed for interpreting well test data from complex well configurations, including horizontal wells with multistage hydraulic fracturing (MSHF) in low-permeability reservoirs. The system employs a modular client-server architecture, ensuring scalability and reliability. The implemented numerical methods address key challenges in well test interpretation, such as data preprocessing with advanced filtering techniques (e.g., Kalman filter, Savitzky-Golay filter, and convolutional autoencoders) and solving the inverse problem using filtration-capacitance invariants and the superposition principle. Practical application results demonstrate FCA's effectiveness in estimating formation flow capacity properties and well parameters. Validation against industry-standard simulator KAPPA Saphir confirmed FCA's higher sensitivity to model correctness, reducing interpretation ambiguity and ensuring reliable industrial deployment.

Keywords: well test interpretation, low-permeability reservoir, filtration-capacitance analysis, inverse problem, software architecture, client-server, convolutional autoencoder, superposition principle, misfit minimization, multistage hydraulic fracturing