Abstract
Managing oil and gas production requires the integration and analysis of multiple sources, including chemical analysis data, laboratory reports, and specialized analyses. Quick and efficient access to this data will allow engineers to focus on generating analysis and decision-making tasks to improve production and field performance.
This document presents an overview of the project on the implementation of an automated workflow designed to support the analysis physicochemical of production water applied to Colombian fields. The project was developed through cloud apps, as a new platform that supports the visualizer solution, using data analysis and the production domain of physicochemical.
The implementation consists of three stages, the first standardized the information from the field physicochemical, which was stored in Database as a centralized platform. With the results from the first step, the second stage begins to apply different automated calculations to establish the Langelier, Ryznar, Puckorius and Larson Indexes, among others, to determine the stability of the fluids and formations of corrosion, wax, scale, asphaltenes with the objective of identifying and improving self-sufficiency, product consumption and ensuring operational autonomy.
The third stage and completion of the solution workflow is integrated through data analysis where the calculations are visualized based on different knowledge, avoiding delays associated with chemical problems and allowing the flow assurance of the wells that are part of the field. This workflow resulted in considerable time savings as relevant data will be automatically updated and used in analysis, instead of manual processing, improving efficiency in field management practices. Furthermore, it is a new workflow that can be replicated in other solutions.
