E&P capital Execution cycle: “An ultra-efficiency model”
Sustainable efficiency gains are being talked about by a number of operators, but there are some key questions to address: How much can be gained? Is the effort justified by these gains? How long can the gains be sustained? What steps can be taken to achieve efficiency gains in the near term? What kinds of supplier relationships best suit the ultra-efficiency model? We’ll examine one aspect of the E&P capital execution cycle to help illustrate some key points
Leveraging Real-Time Insights to Improve Day-to-Day Operations and Well-to-Well Performance
How we are leveraging high-resolution real-time drilling data to benchmark performance, identify opportunities for improvement, and optimize on and off bottom operations. Case studies will highlight how the availability of real-time analytics has supported faster and more informed decisions during operations, while reducing the risk of lost time. The discussion will also review how engineers are leveraging a large, high-quality data set to support design decisions post-well and optimize performance within a multi-rig fleet.
Implementing Real-Time Optimization Workflows at the Field Level
Discussion on the challenges and succeses of how we implementing performance focused workflows in the field. This centers on how ProACT was leveraged to set 4 record wells in the Delaware Basin in early 2016. Will highlight rig engineer workflows utilized to identify deficiencies and improve connection times, leverage real-time multi well comparison by overlaying drilling parameters correlated by formation, and reduce slide percentages on 7.5K Wolfcamp laterals in Lea and Eddy county, New Mexico.
Leveraging Analytics to Facilitate Lookbacks to Enhance Well-to-Well Performance
Presentation will highlight how I leveraged management and engineering workflows to compile performance data and lessons learned to drive well-to-well performance. Utilization of various KPIs allowed me and my engineers to transfer learnings to new wells, especially as rig counts and workloads grew to maintain high-level performance achieved during periods of lower activity.
Reduce Slides while Drilling Non-Standard Hole Sizes
Case study highlighting how we leveraged real-time build and walk analysis to pick optimal drilling parameters. This study highlights how instantaneous analysis allowed engineers to select RPMs and WOBs to drill an extended 12-1/4” hole section with no maintenance slides or excessive doglegs, improving efficiency and mitigating future production risks.
Enhancing Drilling Performance using Real Time Analytics
Discussion will focus on the utilization of real-time analytics to select ideal drilling parameters, which are helping my team push lateral drilling performance. In addition, I will also discuss how the integration of Well View data is increasing transparency in the field, especially centering around the trending and comparison of mud properties.
Leveraging Real-Time Analytics to Support Organizational Efficiency and Fact-Based Decisions
(Draft) Discussion will center on how BHPB’s asset teams are working to pivot from intuitive decision making to fact-based, analytics driven decisions. Frequently engineers and field personnel are forced to make decisions based on past experience due to a lack of time for analysis. As activity increases, engineers’ time will become increasingly valuable, and real-time, on-demand analytics will become crucial in making the right choices. The discussion will also cover some of the challenges associated with changing behavior and adopting new strategies.
End-of-Well and End-of-Pad Analysis to Support BHA Selection and Analyze Rig Performance
Discussion will focus on how Oasis Engineers are utilizing KPIs and Daily Reporting in an integrated fashion to support fact-based decisions. End-of-well and end-of-pad analyses allow engineers to quickly evaluate BHA choices to apply to future wells during development drilling. In addition, one of the key challenges in an optimized development drilling program is finding additional ways to reduce time and cost. These analyses are allowing the engineers to share data with their field crews to drive off-bottom time reduction and evaluate modifications to existing rigs as well as rig selection as operations ramp up.