Event Details | Event Overview | Session Details
Event details
Date: June 3, 2014
Location: Devon Energy, 333 West Sheridan Ave, Oklahoma City, OK 73102
Event overview
Infosys is a Social Sponsor at the 2014 Oklahoma City Data Management Workshop and Field Trip. The event covers various sessions, discussions, field trip and happy hours. Infosys experts are also presenting a session at the event.
Field Trip:
This workshop will be followed by a field trip to Oklahoma City's National History Museum. The schedule of buses for field trip is as follows:
First Bus: 12:45 PM – 16:45 PM
Second Bus: 13:30 PM – 17:00 PM
Happy Hour:
The happy hour is from 16:30pm – 18:30pm at 50th Floor Devon Tower.
Session details
Topic: Well integrity management through data integration and advanced visualization - a point of view
Date: June 3, 2014
Time: 11:00 a.m. – 11:30 a.m.
Speakers: Prakash Dhake, Principal, Infosys
Mahesh Venugopalan, Associate Partner, Business Consulting, Infosys
Abstract:
Having safe, compliant, and reliable wells is the primary goal of an exploration and production (E&P) organization. Ensuring the integrity of wells, equipment, and other assets is critical to achieve this goal.
Collating data (anomaly data, production data, well header data, pressure data, equipment data, work order, etc.) from multiple sources to assess the risk profile is challenging. The manual effort involved, the presence of isolated systems, and difficulties with cross-referencing the data add to the complexity. This often results in incorrect determination of risk profiles for the well. Furthermore, presenting critical elements of the risk profile to gain leadership attention for mitigation poses additional challenges – especially for a global operator with thousands of wells (onshore and offshore) across geographies.
This presentation will talk about an integrated approach to managing well integrity related risks by extracting data from multiple sources. The approach will touch upon factors for determining risks and using advanced analytical tools to visualize the data. In addition, the approach will address presenting the risk profile of the wells in such a way as to elevate high risk areas for immediate leadership attention and additional insights.
