Knowledge Management Strategies for Mitigating the Big Crew - Wipro

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Knowledge Management Strategies for mitigating the Big Crew Change in E&P [13] Partners and vendors are a key component of the solution since they have expertise with equipment and then services that may not be available in-house. A separate extranet site will be used for this group. It will have the functionality of knowledge market minus the compensation component. Partners and vendors will have an interest in ensuring that they are adding value to their customer in order to secure future sales. No additional compensation model would be required. Business users would have access to the full community through portal application. They would likely first attempt to solve issues or support projects locally and then leverage the COEs followed by partners/vendors and then as a last resort use the knowledge markets. No matter how effective the knowledge community is, there will be gaps. Some employees will choose not to join alumni associations as consultants and there will likely never be enough consultants to meet demand. Organizations will need to invest in operations research and expert systems to fill this need. Operations Research (OR) uses mathematics and analytical computer-based methods to optimize scheduling to improve operations. In oil field operations veteran managers are able to use their experience to optimally schedule resources. Developing or producing an oil field requires a number of steps to be performed serially or in parallel. Knowing how to budget time or estimate risks to timelines is largely a function of experience. When these experienced employees retire, systems like these will be required to back fill them until the next generation of the workforce gains experience. Below are two examples of OR systems improving operations from a recent Society of PetroleumEngineers paper titled “The Impending Expertise Crisis: New Technology Comes to the Rescue”. [14] “Saudi Aramco, the world’s largest oil producing company, realized strong improvements in key performance indicators after deploying Actenum’s Rig Activity Scheduler.” “The Canadian oil sands extraction company Syncrude avoided an unplanned downtime estimated at a cost of $32 million within two weeks of using a reliability driven maintenance scheduling prototype.” Expert systems use Artificial Intelligence algorithms to replace human beings. These systems use manytechnologies including rule based systems, fuzzy logic and neural networks. AI systems are most appropriate to: • Get better value from large amounts of operational data • Help experts to make better decisions by focusing on trends rather than details • Providing decision support that improves the effectiveness of non-experts One example is a fuzzy logic system developed by the Petroleum Recovery Research Center (PRRC), New Mexico Institute of Mining and Technology, Socorro, NM. The U.S. Department of Energy funded $523,500 of this 36 month project. Below is an excerpt from the team’s objective statement. “The objective of this project is to create a user-definable and customizable fuzzy expert system tool to dramatically speed local and regional play analysis and reduce subsequent drilling risk. This general tool will not require significant knowledge of computer programming and will guide users through the process of building a successful expert system to evaluate plays from field to basin scale using public and/or private data and their own knowledge. 10 | www.wipro.com/industryresearch WIPRO TECHNOLOGIES
Knowledge Management Strategies for mitigating the Big Crew Change in E&P To demonstrate the effectiveness of the tool, a secondary objective of analyzing the Pennsylvanian play of southeast New Mexico will be performed. Public data will be organized for analyzing this outstanding, bypassed-pay play, which will provide an example of the usage of the system while simultaneously providing a significant opportunity for identifying new reserves.” Oil and gas companies need to do advance forecasting within their organization to understand what non-replaceable, critical personnel will be lost during the Big Crew Change and work with these employees to transfer their unique knowledge to these expert systems. Because of the high cost of these systems, oil and gas companies should consider forming partnerships with similar firms and seek government funding. As companies struggle to offset the 6% attrition rate with new employees, they will need new ways to reduce time to productivity; that is, the amount of time it takes for the company to break even on their investment in recruiting and training new employees. In recent SPE paper, “Developing Young Exploration and Production Professionals to Solve the ‘Big Crew Change’”16, employee development is defined as: • 10% theory • 50% On-Job-Training • 40% Coaching and Mentoring As fewer and fewer coaches and mentors are available, companies are going to have to rely more heavily on knowledge managements systems. As covered earlier in this section, current employees and alumni will need incentives to contribute to the knowledge base to provide the support infrastructure to the incoming workforce. The knowledge community and its communications infrastructure will help address the issue of having a workforce located in Asia to perform work in North America and the Middle East. As discussed earlier in this section, Shell has developed a COE in Bangalore, India to provide support operations worldwide. As it becomes more and more impractical to relocate engineers from their home countries in Asia, the COEs will need to transform support centers to operations centers. New technologies in unified communications, digital oilfields, and SCADA systems will make it possible to do more and more work remotely. Unified communications will increase the effectiveness of virtual teams making it possible for a large team in Bangalore to support a skeleton crew on the ground in Alaska. SCADA systems will allow the control center in Bangalore to monitor equipment, receive alerts, and make adjustments to production platforms in the Gulf of Mexico, reducing the number of employees needed on site. Condition based maintenance systems based in Bangalore will make it possible to extend physical maintenance intervals in oilfields in the Texas panhandle. This will reduce the number of technical support teams driving around the prairie in trucks maintaining equipment. [15] [16] The technology needed for this solution exists today. Wipro is building it on the Microsoft platform. 11 | www.wipro.com/industryresearch WIPRO TECHNOLOGIES
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