Overview: A relevant part of the historical production data used in the O&G industry comes from production time series. Production simulation depends on these time series to assist in decision-making regarding an oil field’s economic and operational viability. Therefore, finding and managing suitable time series significantly impacts oil production optimization and related processes that use this data. With this, we seek to understand the feasibility of applying the OSDU Data Platform to manage data related to production time series. To do this, we carried out a simple case study, as shown in the figure below.

In this case study, we illustrate the modeling assuming a CSV file containing a time series relative to a measurement (pressure). Typically these files are described by TAGs, which inform the context, measurements, and possibly the time horizon. We summarize our modeling work and our conclusions in (CORREIA, Jaqueline B. et al. Data management in digital twins for the oil and gas industry: beyond the osdu data platform. Journal of Information and Data Management, v. 13, n. 3, 2022.) using public data, made available by Equinor (Volve dataset, available at: https://www.equinor.com/news/archive/14jun2018-disclosing-volve-data). 

Modeling files available at: https://github.com/JaquelineBitencourt/Data-Modeling-With-OSDU.git