Oil And Gas Data Management Software – In the upstream activity of the Oil & Gas industry, data quality has evolved with technologies that improve its operations, driven by the standards offered by data management organizations around the world. Authors: Beatriz A. Golindano U., [1]. Osmer R. Parabavir M. [2]. [1]. Oil & Gas Industry Data Management Specialist at Karanta Software. [two]. Business Manager / Chief Data Scientist at Karanta Software. Data as an “asset” of organizations
Currently, all organizations in the industrial sector generate a large amount of data typical of their operating environment: production history, sales, failure reports, response times to unforeseen events, among other similar issues. Today, this historical data has become one of the most strategically valuable assets for companies (Perrons, 2014).
Oil And Gas Data Management Software
The oil and gas industry is no exception (Hassani and Sirimal, 2018), in this article we will focus on analyzing the evolution of business data management upstream, where oil and gas exploration, drilling and production converge. going through the organizations and standards that have contributed the most to this topic.
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Defines information systems as a formal set of procedures that operate on a collection of structured data according to the needs of the company; it collects, prepares and selectively distributes the information necessary for the operation of the company in question and for the corresponding management and control activities; supporting, at least in part, the decision-making processes necessary to execute the company’s business functions in accordance with your strategy.
For its part, data management is an administrative process that includes the acquisition, validation, storage, protection and processing of the data necessary to ensure the accessibility, reliability and accuracy of its users.
Currently, the use of information systems has become very important to manage specific data for each industry. In the case of the oil and gas business, it is an evolving topic because each link in the value chain has its own tool to manage the data it produces. Creating islands of data, which now need to be consolidated.
As the volume of data increases, it is necessary to categorize it to ensure that it can be distributed smoothly and accessible to users.
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Basic data: This set contains data presented in a visual format, used without modification by a wide variety of professionals, limited in size and suitable for immediate exchange and quick use.
Customer Data: This category contains the basic data, as well as the supplementary information that supports it. They are suitable for advanced use by experts.
Producer data: This data contains, in addition to basic data and customer data, other important information about the data generator.
Technological development around the oil and gas industry, mainly information systems, has made it possible to store petabytes of data from all aspects of the business.
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Integrating this past business data, whether newly acquired or extracted from archives, was once a manual, routine and inefficient task. Just like handling spreadsheets, even if there was physical data, when loading it into a spreadsheet, the data was lost due to human error.
The most widely used tool is maps, surface or subsurface, which began as 2-D. In the 1990s, the use of 3D seismology tools marked a major advance for the oil and gas industry. Subsequently, there was significant improvement with the technological development of information systems, combining a single-well geologic log and 4-D seismic, collecting a series of 3-D images to monitor fluid migration. Currently, tools like
Hadoop (IBM BigInsights) used to process Hadoop and seismic data with Amazon Virtual Private Cloud (Amazon VPC)
Initially, the reliance on reliable seismic data and manual correlation of adjacent well logs to plan the trajectory of development wells was relied upon, but still led to operational problems and incidents during drilling. for manual data management. Following the development of technology, there are tools and methods such as Geosteering that allow operators to collect pressure, temperature and lithological data in real time, which leads to improved production of oil and gas wells.
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It was common for operators to perform the task of manually capturing production data. Spreadsheets were then implemented to manage production data. Currently, the digital field has reinvented the management of production data, due to the volume, speed and variety of data generated by the new smart wells, giving rise to advanced technologies such as the “Internet of Things” and “Big Data”. Analytics ” for data analysis in the oil and gas industry.
There are organizations for data management in the oil and gas industry, such as the International Organization for Standardization (ISO), which has a dedicated technical committee for the upstream business, ISO TC67. whose function is to administer the
, which provides a standard format for equipment across all facilities and operations in the oil and gas industry.
Similarly, there are 11 standards-setting organizations related to the digital oilfield, coordinated by the Standards Leadership Council (SLC), which are:
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Energistics: is the custodian of developing open data exchange standards for the upstream oil and gas business.
International Association of Oil and Gas Producers (IOGP): Is a forum in which members identify and share best practices to achieve improvements in liability, engineering and operations in the oil and gas industry.
MIMOSA: It is a non-profit trade association, dedicated to the development and promotion of the adoption of open standards of Information Technology, which enable the management of the life cycle of physical assets, in production environments, fleets and facilities.
Open Geospatial Consortium (OGC): Organization that promotes standards for integrating and sharing content in any geographic information system, location services, among others.
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Object Management Group (OMG) – A standards group led by vendors, end users, academia and government agencies.
OPC Foundation: Ensures interoperability in automation by creating open specifications that standardize the communication of acquired data, event logging, and historical data.
Pipeline Open Data Standard Association (PODS): Develops and supports open data and exchange standards to meet the data management needs of pipeline companies.
Professional Petroleum Data Management (PPDM) – Promotes professional petroleum and gas data management through the development of standards and best practices.
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The continuous evolution of information systems has made manual data management almost obsolete. Obtaining computing solutions that guarantee the consistency, integrity and traceability of data are gaining more and more space in modern industrial environments.
The implementation of digital filing, although it entails a significant investment cost, allows the joint acquisition of benefits to significantly improve the decision-making process at each of the stages of the upstream business activity in the Oil & Gas industry.
The use of standards for efficient data management in the oil and gas industry is a growing need. Today technologies such as
To achieve significant improvements in the operations of the oil and gas industry. However, part of its implementation success depends on how organized each company’s data is.
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Brown, T., Burke, T., Kletzky, A., Haarstad, I., Hensley, J., Murchie, S., Purdy C., & Ramasamy, A. (2000).
“ISO 14224:2006. Oil, Petrochemical and Natural Gas Industries: Collection and Exchange of Equipment Reliability and Maintenance Data’. I came from:
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