Software Suite Development for Solving the Inverse Problem in Well Test Interpretation of Complex Well Designs

Abstract

Software Suite Development for Solving the Inverse Problem in Well Test Interpretation of Complex Well Designs

Shengeliya D.Yu.

Incoming article date: 06.11.2025

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