Upstream Data Standards at Saudi Aramco
- M.A. AlShehry (Saudi Aramco) | M.M. Al-Khudiri (Saudi Aramco) | F.S. Al-Sanie (Saudi Aramco) | R.A. Miyajan (Saudi Aramco) | A.A. AlTaiban (Saudi Aramco) | A.S. Al-Zawawi (Saudi Aramco) | M.S. Khakwani (Saudi Aramco)
- Document ID
- Society of Petroleum Engineers
- SPE Saudi Arabia Section Technical Symposium and Exhibition, 8-11 April, Al-Khobar, Saudi Arabia
- Publication Date
- Document Type
- Conference Paper
- 2012. Society of Petroleum Engineers
- 1.6.6 Directional Drilling, 5.1.5 Geologic Modeling, , 1.12.6 Drilling Data Management and Standards, 5.5 Reservoir Simulation, 3 Production and Well Operations, 1.12.2 Logging While Drilling, 5.1 Reservoir Characterisation, 1.6 Drilling Operations, 2 Well Completion, 6.1.5 Human Resources, Competence and Training, 6.5.3 Waste Management, 2.3 Completion Monitoring Systems/Intelligent Wells, 1.10.1 Drill string components and drilling tools (tubulars, jars, subs, stabilisers, reamers, etc), 1.6.7 Geosteering / Reservoir Navigation, 4.3.4 Scale
- 1 in the last 30 days
- 390 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 5.00|
|SPE Non-Member Price:||USD 28.00|
This paper describes the upstream data standards that Saudi Aramco has recently implemented for Drilling and is in progress to implement them for other areas such as Production and Reservoir Characterization. These standards enable us to make wider use of our monitoring and collaboration centers through a common approach. It also allows us to leverage the evolving WITSML, PRODML and RESQML standards more effectively in our upstream operations.
Saudi Aramco relies on many service organizations to deliver the generated data which requires common and standard data classification when exporting data from source A then importing to destination B. Applying a common approach to information access on a global basis has enabled us to streamline our operations and make wider use of emerging analysis, monitoring and collaboration technologies.
Real-time technologies have been utilized to capture, monitor and analyze operational data from well sites so that critical decisions can be made in real-time to reduce and eliminate operational and safety problems, thus reducing non-productive time. That includes high-tech rigs, smart wells, monitoring & collaboration tools and real-time data visualization systems.
Our aim has been to implement standard upstream information architecture. Our full implementation of WITSML was the vehicle which allowed this to happen in Drilling & Workover operations. We still believe that over the next years with the advancements of technologies there will be more challenges to support open connectivity between different vendors and services supporting the increasing upstream functions.
Saudi Aramco is the world's preeminent producer of energy, with the largest proven reserves, committed to meeting the world's demand for oil. Upstream data plays a key role in identifying and harvesting hydrocarbons, and Saudi Aramco regards data as a precious corporate asset, with comprehensive policies and strict adherence to procedures in place to safeguard it. Upstream data has been gathered at Saudi Aramco over the years serving engineers' needs, and supporting analysis and decision-making, but recently we have witnessed an increase in sophistication in technologies for logging jobs which enable the collection of real-time data. These technologies and their use are evolving as they mature from rudimentary alerting-systems to supporting analysis and decision-making. It is imperative that policies, procedures and standards that deal with upstream data be circumspect and kept up to date to include real-time data.
Real-time data, and its potential to provide an up to the minute stream of information, has fundamentally altered the nature of data and its usage. In addition to the tasks of managing any data for ensuring integrity, securing, and assessing data quality, real-time data imposes a daunting challenge of dealing with large volumes of data. This data growth is also exhibited in the arena of reservoir simulation where high resolution POWERS  and GigaPOWERS  simulation models with sizes up to billion cells are routinely built and solved efficiently on large scale parallel computers. It is vital that data standardization get immediate attention, otherwise we will find ourselves dealing with huge amount of useless data. Only if standardized and controlled, it can transform its disposition from simply alerting capabilities to a tool that users interact with to optimize business processes.
Real-time data is beginning to span the breadth of upstream processes. Having delivered on the promises of drilling, by enabling geosteering using measurements and logging while drilling, it is providing data on production as well as reservoir characterization. This paper will deal with Saudi Aramco's experiences with evaluating and utilizing data standardization technologies such as WITSML, PRODML and RESQML .
|File Size||186 KB||Number of Pages||7|