Compometrics for Deeper Integration of Fluid Composition in Flowrate Determination and Allocation (Multiphase Metering Opportunities and Solutions SPE Workshop 2026)
Compometrics is presented as a data validation and reconciliation method that uses fluid composition, thermodynamics, uncertainty, and nonlinear constrained optimization to improve multiphase flowrate determination. The document shows its value through wet-gas validation and applications in liquid loading, production allocation, zonal allocation, and MPFM fluid model optimization.
Authors
Abstract
This presentation introduces Compometrics, a process modeling technique that integrates fluid composition, thermodynamics, data redundancy, measurement uncertainty, and constrained nonlinear minimization to improve flowrate determination and allocation. Positioned as a sub-model of Data Validation and Reconciliation, Compometrics uses compositional information rather than aggregate fluid properties such as shrinkage or flash factors to reconcile measured and calculated values across multiphase systems.
The document validates the approach using wet-gas flowloop test data, demonstrating that, first, inlet gas and liquid compositions, flowrates, and uncertainties can be propagated to reproduce reference wet-gas compositions and heating values, and, inversely, back-calculated the flowrates from the inlet and outlet compositions alone. It then extends the method to practical applications, including wet-gas liquid loading determination from reservoir fluid density, production and network allocation, subsurface zonal allocation, and multiphase flowmeter fluid model validation.
Across these use cases, the approach is presented as a cost-effective “soft” solution that adds independent redundancy to conventional flow measurement, reduces reliance on frequent well testing or laboratory recombination, and improves confidence in allocation and metering results through uncertainty-aware reconciliation.