Systematic Approach to Optimize the Rig Move within ADCO Onshore Field

Abstract

ADCO's Business Plan demands a high number of wells to be delivered in development Fields for better reservoir sweeping efficiency such as: Infill drilling, injector's patterns and maintenance work-over operations in the end of each year, that result in increase of 50% of rigs fleet to meet the DWS (Drilling work over schedule) requirements in the next 5 years because the expansion in production will be from 1.4 MM bpd to 1.8 MM bpd. The rig move is an important component in the DWS as the average rig move between the wells is 4.6 days which in total 110 days and that is our driver to minimize the time consumed in rig move and gain more days for BP This Presentation will develop a study case for rig move optimization in BAB and ASAB Fields. In general two possible operation to move rigs are followed in our company: Mast-Up when the road allow us to do that, or conventional movement Mast-Down, if there are any obstacle in the way, like power lines, conductor lines or limited spaces (these movement requires additional time for laying down and rigging up the mast).

Data-Driven Joint Chance-Constrained Optimization for the Workover Rig Scheduling Problem

“…Falex (2009) proposed a GA to the drilling rig scheduling problem with heterogeneous fleet that minimizes the rig's hires and oil production loss. Addressing a real case study of an Emirati oil company, Sumaida et al (2013) presented a systematic methodology for manually routing onshore rigs. Amrideswaran et al (2015) presented a framework for risk assessment in workover and plug and abandonment (P&A) operations in which offshore rigs are scheduled according to a GH, based on a priority ranking matrix.…”