Efficiently Transferring and Sharing Drilling Data from Downhole Sensors
- Theresa Baumgartner (The University of Texas at Austin) | Yang Zhou (The University of Texas at Austin) | Eric van Oort (The University of Texas at Austin)
- Document ID
- Society of Petroleum Engineers
- IADC/SPE Drilling Conference and Exhibition, 1-3 March, Fort Worth, Texas, USA
- Publication Date
- Document Type
- Conference Paper
- 2016. IADC/SPE Drilling Conference and Exhibition
- 5 Reservoir Desciption & Dynamics, 2.3.2 Downhole Sensors & Control Equipment, 1.12 Drilling Measurement, Data Acquisition and Automation, 5.6 Formation Evaluation & Management, 7.2 Risk Management and Decision-Making, 7.6 Information Management and Systems, 1.12.6 Drilling Data Management and Standards, 7.2.1 Risk, Uncertainty and Risk Assessment, 2.3 Completion Monitoring Systems/Intelligent Wells, 7.6.2 Data Integration, 5.6.1 Open hole/cased hole log analysis, 2 Well completion, 1.1 Well Planning, 7 Management and Information, 1.6 Drilling Operations
- Transfer, Standardization, Downhole, Integration, Drilling Data
- 0 in the last 30 days
- 287 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 8.50|
|SPE Non-Member Price:||USD 25.00|
The drilling industry has begun to cherish the value of data collected from downhole sensors, often gathered at high frequencies. Moreover, it has started to capitalize on the availability, analyses and credibility of this data through step-changing knowledge gains that have enabled meaningful drilling performance improvements. As a result, topics like data quality, data ownership, and data integration are now routinely being discussed among stakeholders as data from downhole memory tools slowly starts to integrate into routine well planning and optimization workflows.
The collectors of data usually are not the sole owners and main beneficiaries of such data. Large amounts of data have to be transferred from service providers to various collaborators within and across companies. The process of agreeing on a data format, relevant accessory information and means of transfer, is currently laboriously repeated on a project-by-project basis. This practice not only consumes unnecessarily resources on both ends, but also carries the risk of losing crucial contextual information. WITSML standards are often unsuitable for large high frequency data files and do not provide enough flexibility for certain contextual information.
This work proposes a file format suitable for securely storing downhole data and sharing it across all stakeholders, providing both flexibility and simplicity. The proposed file format implements a set of specialized horizontal and vertical dividers to structure contextual information on the well, the run, and the sensors, and to store them in the same file as the measurements. Among other things, well and section information, responsible personnel, equipment and sensor properties, time calibration, and operational parameters may be specified. The inclusion of both required and optional inputs ensures both flexibility and essential context, and allows the coverage of a variety of applications. It is comparable to the Log ACSII Standard (LAS) file that quickly found wide acceptance in the well logging community and beyond after its introduction in 1990.
The implemented dividers enable the data files to be easily accessed by variety of programs and comfortably viewed by the human eye using any standard spreadsheet or text file application. Importing and exporting applications can be provided to the users, who can then easily produce these files from raw data for transfer, or integrate them into existing data management systems.
Stakeholders, such as operators, service companies, and tool manufacturers are involved with the creation of this standard file format to ensure consent amongst all users. The standardization of downhole sensor data files proposed in this work marks an important step towards automated analysis of downhole data, reduction of data loads, and data integration. Our approach is illustrated using various examples of how the new standard can be applied on actual field data.
|File Size||5 MB||Number of Pages||14|
Florence, F., Chapman, C., Macpherson, J., and Cavanaugh, M. 2015. Implementation of Drilling Systems Automation - Halifax Workshop Summary: Industry Standards, Business Models and Next Steps. Present at SPE Annual Technical Conference and Exhibition, Houston, Texas, 28-30 September. SPE-174779-MS. http://dx.doi.org/10.2118/174779-MS
Hinton, G. 2014. Where Do Features Come From?, Cognitive Science, 38 (6): 1078–1101. http://dx.doi.org/10.1111/cogs.12049
Hoffmann, O.J., Jain, J.R., Spencer, R.W., . 2015. Drilling Dynamics Measurements at the Drill Bit to Address Today's Challenges, Present at IEEE I2MTC 2012 conference, Graz, Austria, May 13-16. http://dx.doi.org/10.1109/I2MTC.2012.6229668
Macpherson, J. D., Paul, P., Behounek, M., & Harmer, R. (2015, September 28). A Framework for Transparency in Drilling Mechanics and Dynamics Measurements. Present at SPE Annual Technical Conference and Exhibition, Houston, Texas, 28-30 September. SPE-174874-MS. http://dx.doi.org/10.2118/174874-MS
Osnes, S. M., Amundsen, P. A., Weltzin, T.. 2009 Vibration Measurements: A Time for Standardisation. Present at SPE/IADC Drilling Conference and Exhibition, Amsterdam, The Netherlands, 17-19 March. SPE-119877-MS. http://dx.doi.org/10.2118/119877-MS
Pickering, J. G., Kreijger, J., Grovik, L. O.. 2009 WITSML "Comes of Age" for the Global Drilling and Completions Industry. Present at SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 4-7 October. SPE-124347-MS. http://dx.doi.org/10.2118/124347-MS
Pickering, J. G., Shields, J. A., Gidh.. 2012. WITSML: Laying the Foundation for Increasing Efficiency of Intelligent Wellsite Communications. Present at SPE Intelligent Energy International, Utrecht, The Netherlands, 27-29 March. SPE-150278-MS. http://dx.doi.org/10.2118/150278-MS
Sadlier, A. G., Laing, M. L., and Shields, J. A. 2012. Data Aggregation and Drilling Automation: Connecting the Interoperability Bridge between Acquisition, Monitoring, Evaluation, and Control. Present at IADC/SPE Drilling Conference and Exhibition, San Diego, California, 6-8 March, SPE-151412-MS. http://dx.doi.org/10.2118/151412-MS
Vogel, S. K. and Asker, J. 2010. Real Time Data Management And Information Transfer As An Effective Drilling Technique. Present at IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition, Ho Chi Minh City, Vietnam, 1-3 November. SPE-136296-MS. http://dx.doi.org/10.2118/136296-MS