Data associated with reservoir fluids are diverse, detailed and important. Reliable reservoir fluid properties obtained during the field's lifecycle are critical factors in planning reservoir, facilities, and well developments to maximize return on capital.

Fluids data, however, are often based on samples, which are normally collected, analyzed and modelled early in the reservoir's lifecycle. Because of the diversity and physical nature of reservoir fluids, the data are usually characterized by complex experiments that represent a best approximation of fluid behavior along the entire production pathway. The quality of the results of these experiments depends on the test sample's handling and preparation, the experimental process used, and the test conditions employed. Understanding and accurately communicating this background context for fluid properties is essential to ensure that adequately representative properties are available for a specific technical workflow.

This paper describes an Energistics-sponsored and proposed PRODML industry standard to consistently capture and communicate fluid and pressure-volume-temperature (PVT) analysis data covering sample acquisition, laboratory analysis, fluid system characterization, and property generation for upstream technical workflows. While not dealing with how to perform these steps in the reservoir fluid's lifecycle, this XML standard allows data to be initially incomplete and updated as additional data are developed. Also, the final products, such as a fluid property table or an equation-of-state (EOS) model, remain connected to the earlier lifecycle stages of characterization, analysis, and acquisition as well as the reports and documents created at each stage.

This proposed standard is designed to improve reliability and reduce costs for data exchanges between field personnel, laboratory personnel, subject matter experts, and end users. The standard is also designed to support the evolution of a single “document” for a fluid sample's lifecycle. Other capabilities include storing these data in a system of record.

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