- The world's largest database of reliability data for well and subsea equipment
- Identify down-time drivers and trends
- Collect and structure well equipment experience and failure data
- Cloud-based solution with an efficient and user friendly interface
Key facts about WellMaster RMS
40,000 well years
of equipment history
Contributed to more than
in documented savings for operators
Global coverage with
Onshore & Offshore
well equipment reliability data
Analytics for Better Decisions
WellMaster RMS improves the oil & gas operator’s decision making by quantifying the operational experience of wells. The solution is utilized thru the full well life cycle, from designing better wells and selecting better equipment, to risk assessment, well integrity analysis, and remaining life assessments.
IMPROVED RELIABILITY = INCREASED UPTIME
Reliable wells mean fewer failures, lower OPEX, and less non-produtive time (NPT) of your assets. WellMaster RMS provides the support both for making better decisions now, and for following up well performance for continuous improvement.
RISK-BASED DECISION MAKING
WellMaster RMS quantifies the risk of current and future operations, based on real experience from oil & gas operators. This enables companies to conduct risk-based assessments on how to operate wells, and save cost while ensuring safe operations.
Drill-Down Overview of Wells
The well history is often scattered in various applications and documentation, and not accessible for active use. WellMaster RMS provides the oil & gas operator with the complete failure history for all operated wells. Information is presented on company and asset levels, down to each single equipment.
FILTER ACROSS ASSETS
Extensive filtering capabilities allows the user to identify and group wells based on equipment installed, failures experienced, installation dates, and more. This enable comparison and learning through the whole corporation, across assets and business units.
With full well history available, WellMaster RMS encourages knowledge transfer across the organization and for new hires. Users can immediately identify historical issues with the field or single wells, and the work conducted in the past.
Global Data Sharing
Through WellMaster, the operator partakes in the world’s largest repository of well & subsea equipment experience data. The anonymized industry data is accessed alongside the operator’s own data, enabling like-for-like comparison and benchmarking of equipment performance. Reliability analytics can be conducted with an even greater certainty by including industry data, with applied filters to extract data comparable to the operator’s wells.
WellMaster RMS is safely hosted by ExproSoft, utilizing a secure 3rd party hosting service. All data is protected by state-of-the-art user based access controls, ensuring that shared data is anonymized and aggregated.
Powered By WellMaster
WellMaster RMS is a hosted solution that consist of a database, web-based interface, and an API for interfacing with existing work process and supporting software solutions.
The data is made easily available in a standardized format for use in several areas in the wells life cycle, such as equipment procurement, well/field design, integrity management, intervention planning, and P & A.
WellMaster RMS collects and structures data into 4 main categories to allow for efficient filtering in reports and analysis. Information is gathered on a detailed level for the operator, which is aggregated and anonymized when shared.
ASSET & WELL DATA
High-level information on the operator and field location, and the well types and operational conditions.
The wells’ equipment data are stored with key attributes in the database, in a format that allows for specific filtering when conducting in-depth reporting and benchmarking across fields and assets.
Each component has its experience data logged, which allows the system to calculate key reliability indicators.
The failure data logged includes details categorized for both high-level reporting and single well/equipment failure investigation.
«Significant reduction in failures can only be accomplished when the failures are known (captured) and the causes of the failures as a component and as part of a system are understood»
Apache Corporation, SPE 166142 2013