Production Allocation

Fiber optic-based production logging employs Distributed Temperature Sensing (DTS) and Distributed Acoustic Sensing (DAS) to continuously monitor and analyze downhole flow conditions, offering essential data that enhances the optimization of oil and gas extraction processes.

Services

Fiber Optic Sensing based Production Allocation

Production logging measures and identifies the downhole fluid dynamics, provides critical information to support improved wellbore management and increased well productivity.

Production logging by fiber-optic sensing is based on inverting a thermal hydraulic model to DTS measurements during shut-in and production periods.

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Improve Wellbore Management and Increase Productivity

Our production allocation solutions provides information on:

  • Joint inversion of DTS and DAS measurements
  • lmproved model constraint
  • Reduced uncertainty
  • Cluster level uncertainty estimation
  • Exclusive two-phase workflow solution differentiating hydrocarbon and water production
Analysis

Statistical Inversion

Statistical inversion method is applied to solve the thermal hydraulic model:

The results are more robust and reliable, avoiding falling into local optima trap in the inversion process.

Uncertainty estimation is provided at cluster level for the production allocation results, which is crucial for decision-making.

  • Thermal model with DTS only measurement are prone to non-uniqueness in solution.

  • Low-frequency DAS measurements capture fluid “slugging” velocities during well-opening events and are added into model inversion as a constraining parameter set, makes up missing information when fiber end is not at bottom of the well.

  • Joint simultaneous inversion of DTS and DAS measurements better constrain model results and reduce uncertainties/non-uniqueness in the production in-flow allocation solution along entire wellbore.

Evaluation

Two-Phase Solution

New two-phase solution workflow separates hydrocarbon and water contributions. Illustration shows cumulative production of each phase from toe to heel.

In our new two-phase solution workflow, which distinguishes between hydrocarbon and water production based on their compressibility, there is a trade-off involving a lesser constraint on the model. Measurements of slugging velocity by LFDAS will offer constraints for total mass flow rates rather than for individual phases.

What Can We Gain From This Analysis?

  • Optimized Production Allocation

    Robust thermal hydraulic models integrated with DTS and DAS measurements to accurately allocate production, enhancing overall field productivity.

  • Enhanced Wellbore Management

    Precise insights into downhole fluid dynamics and flow conditions, enabling proactive wellbore management strategies.

  • Reduced
    Uncertainty

    Mitigate uncertainties in production allocation through advanced techniques, providing reliable cluster-level uncertainty.

  • Enhanced Fluid Characterization

    Two-phase solution distinguishing hydrocarbon and water production, providing insights into total flow rates and optimizing production strategies.