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Integrating Big Data: Simulation, Predictive Analytics, Real Time Monitoring, and Data Warehousing in a Single Cloud Application

Authors
N. Mounir (Advantek Waste Management Services) | Y. Guo (Advantek Waste Management Services) | Y. Panchal (Advantek Waste Management Services) | I. M. Mohamed (Advantek Waste Management Services) | A. Abou-Sayed (Advantek Waste Management Services) | O. Abou-Sayed (Advantek Waste Management Services)
DOI
https://doi.org/10.4043/28910-MS
Document ID
OTC-28910-MS
Publisher
Offshore Technology Conference
Source
Offshore Technology Conference, 30 April - 3 May, Houston, Texas, USA
Publication Date
2018
Document Type
Conference Paper
Language
English
ISBN
978-1-61399-571-6
Copyright
2018. Offshore Technology Conference
Disciplines
5.1 Reservoir Characterisation, 7.6 Information Management and Systems, 7 Management and Information, 5.1.10 Reservoir Geomechanics, 5.3.4 Integration of geomechanics in models, 5.6.1 Open hole/cased hole log analysis, 5.3 Reservoir Fluid Dynamics, 5.6 Formation Evaluation & Management, 5 Reservoir Desciption & Dynamics, 0.2 Wellbore Design, 7.6.4 Data Mining, 7.6.6 Artificial Intelligence
Keywords
Data Management, Software
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2 in the last 30 days
315 since 2007
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Price: USD 12.00

The E&P industry is rich in all types of data. Without proper database and analytics, companies are not able to retrieve and analyze the data they need in an efficient way. The result of the data management problems is that decisions are often made using incomplete or incorrect information. Even when the desired data is accessible, requirements for gathering and formatting it may limit the amount of analysis performed before a timely decision must be made.

Strong data management is required to transform wells-related data into an integrated system of information. The key to successful data management is in the use of sophisticated platform-independent codes that doesn't need any special setup or systems which allows easy transfer of information and data over the internet. This paper describes the data management and accompanying analytics approach taken in support of operations in Egypt to provide a shared knowledge system.

This innovative cloud application provides a common interface to multiple systems in the organization, allowing a richer and more complete source of data to be used for decision making. Moreover, it enables the integration of static data, such as well logs in a particular region, with a real-time system to facilitate integrative real-time analyses using artificial intelligence, cloud-hosted physics-based simulators, or both.

To support deepwater needs such as those in Egypt, the system incorporates productivity optimization analysis, reservoir geomechanics (pore pressure prediction, log interpretation, reservoir collapse, fault activation, subsidence, compaction, etc.), and data mining of key development uncertainty and well performance drivers.

File Size  1 MBNumber of Pages   14

A. Amirlatifi, G. M. Narahara, O. A. Abou-Sayed, G. Kusinski, G. Block, J. Mills, A. S. Abou-Sayed, A. Zidane (2018). Bethinking Appraisal: Identification of Pre- and Post-Sanction Uncertainty Drivers in Deep and Ultradeep Gulf of Mexico Fields Through Data Mining Will be presented at the Offshore Technology Conference held in Houston, Texas, USA, 30 April&-3 May 2018.

A. Amirlatifi, G. M. Narahara, O. A. Abou-Sayed, A. Zidane, G. Kusinski, (2018). Well Performance in New Frontiers: Realizing Oilfield Big Data through Large Scal Data Analytics. Will be presented at the Offshore Technology Conference held in Houston, Texas, USA, 30 April&-3 May 2018.

BSEE. 2016. Application of Remote Real-Time Monitoring to Offshore Oil and Gas Operations. https://www.bsee.gov/sites/bsee.gov/files/technology-assessment-program-tap/ab.pdf.

Faig, C. H., Yau, W. G., Christensen and T. Elser 2002. Bridging the data, a software solution which eliminates the barriers to data accessibility providing data integration, analysis, and reporting not possible before. PETSOC-2002-138

El-Fayoumi, A. M., Zaki, K. S., & Abou-Sayed, A. S. (2011, January 1). 3D Hydraulic Fracture Simulation for Injection in Plastic Shales. Society of Petroleum Engineers. doi:10.2118/142263-MS.

Elkatatny, S. M., Farid, A., Mohamed, I., Abou-Sayed, O. A., & Block, G. I. (2014, August 18). An Advanced, Integrated Simulator for Management of Produced Water Re-Injection in Multilayer Vertical or Horizontal Wells. American Rock Mechanics Association

Guo, Y., Mohamed, I. M., Abou-Sayed, O., & Abou-Sayed, A. (2017). Injection and Remote Real-Time Monitoring: Slurry Injection Case Study, Onshore USA. SPE-187234-MSpresented at the 2017 SPE Annual Technical Conference and Exhibition held in San Antonio, Texas, 9-11 October 2017.

Loloi, M., Abou-Sayed, A., Abou-Sayed, O., & Bill, M. (2014, August 18). A Novel Technique for Assessment of Fracture Geometry and Injection Domain From Falloff Tests After Fractured Injection of Slurry: Case Study. American Rock Mechanics Association.

Pandey, R. K., Data Quality in Data warehouse: problems and solution. e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 1, Ver. IV(Jan. 2014), PP 18-24 Journal of Computer Engineering (IOSR-JCE)

Zaki, K. S., Wang, G., Meng, F., & Abou-Sayed, A. S. (2004, January 1). A 3-D Plastic Fracture Simulation To Assess Fracture Volumes In Compacting Reservoir. American Rock Mechanics Association.

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