/ Deconvolutional Formation Pressure

Deconvolutional Formation Pressure

Description

Deconvolutional Formation Pressure (DFP) is an advanced method for estimating reservoir pressure, based on the correlation between multiwell pressure and production rate data. The approach enables estimation of current reservoir pressure and supports development analysis without the need for shut-ins or additional field activity.

DFP reconstructs reservoir pressure history at any location within the cross-well interval by processing background pressure variations through a multi-scenario interference model. Rather than physically shutting in wells, the method virtually deactivates individual wells within the model, allowing evaluation of pressure behaviour and cross-well response under uninterrupted production conditions.

Applications
Development Analysis
  • Reservoir pressure estimation
  • Determining reservoir parameters
  • Identification of production enhancement opportunities

eservoir pressure forecast generated using DFP
Well layout within the tested zone



FEATURES
  • No production deferral
    Pressure analysis is performed without well shut-ins
  • High accuracy
    Pressure estimates with deviation typically under 5%
  • Self-validation
    Result integrity is validated through blind testing
  • Field insight
    Detects productivity shifts and cross-well interference
  • Forecasting
    Models pressure and production dynamics at various production targets