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FSP is a tool developed to screen faults near injection wells and estimate the potential for fault slip induced by fluid injection. It uses probabilistic methods to estimate the cumulative probability of a fault slipping due to increased pore pressure.

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Fault Slip Potential (FSP) 3.0

A Program for Probabilistic Estimation of Fault Slip Potential Resulting from Fluid Injection


Overview

FSP is a tool developed to screen faults near injection wells and estimate the potential for fault slip induced by fluid injection. It uses probabilistic methods to estimate the cumulative probability of a fault slipping due to increased pore pressure.

Features

  • Probabilistic and Deterministic Models: FSP provides both deterministic and Monte Carlo probabilistic approaches for estimating fault slip.
  • Input Parameters: Supports input of fault strike, dip, well locations, injection rates, hydrologic parameters, and mechanical stress state parameters.
  • Hydrology Model: Includes a simplified radial flow hydrology model, allowing users to relate injection to pore pressure changes.
  • Monte Carlo Simulations: Uses Monte Carlo analysis to calculate probabilities of fault slip as a function of pore pressure increase.

How It Works

  1. Mohr-Coulomb Slip Criteria: FSP calculates pore pressure to slip on each fault using deterministic geomechanical modeling.
  2. Monte Carlo Analysis: Probabilistic simulations are run to yield the probability of each fault slipping, considering uncertainties in input parameters.
  3. Hydrology Model: The hydrology model assesses specific injection scenarios, providing pore pressure changes to be used in the fault slip analysis.
  4. Results: FSP produces visual outputs including Mohr diagrams, fault maps, and cumulative distribution functions (CDF) of fault slip probability.

Licensing

FSP 3 is licensed under the BSD-3-Clause. Please refer to the LICENSE file for more details.


About

FSP is a tool developed to screen faults near injection wells and estimate the potential for fault slip induced by fluid injection. It uses probabilistic methods to estimate the cumulative probability of a fault slipping due to increased pore pressure.

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