Since 2013, SPE Thailand has 100% subsidized Members attendance fees at our Monthly Meetings. Owing to reduced sponsorship income (driven largely by lower E&P activities in recent years), we will be revising the monthly meeting fees for all categories commencing in September 2018. Note that the fees for Members will still be significantly subsidized, hence we would encourage all Non-Members to consider joining SPE.
SPE Thailand E&P Award Contest Winner
LEAN Mobile Production Facility to Unlock Marginal Oil Resources
PTTEP has operated the onshore oil field called “Greater Sirikit1”. With only 13 years of production period left, the field development plan has been extended to Outstation Area targeting marginal oil reserves. Such remote locations have no pipelines connecting to the central processing facilities. Therefore the Mobile Production Facility (MPF) is the key to unlock production in those areas. This paper will describe how PTTEP manage the challenge of Mature Field Development to sustain long term production. The Lean approach has been incorporated in the detail engineering design of the MPF. The First successful in-house MPF’s design, construction as well as and facility optimization will be presented. Specifically, the innovative design of the package that leads to significant lower CAPEX and fast track schedule will be discussed. The Lean MPF has improved the economics of project by reducing CAPEX and project schedule by more than 50%. It provides flexibility in operation and production planning through the 10- dayrelocatable concept. The existing 10 units has proved the successful production. Totally 16 units will be commissioning in 2019. The Lean MPF is the key success factor to unlock 7.9 MMbbl marginal oil reserves for PTTEP.
SPE Thailand Young Professionals Presentation Contest Winner
Decision Analytics for Look-Ahead Decision-Making: Optimize Your Well and Save Your Money
Geosteering techniques have been widely implemented in the oil and gas industry. Nonetheless, previous work has indicated that the conventional approach for making geosteering decisions leaves much to be desired and is unlikely to identify the optimal courses of action. In this work, we develop a fast optimization method, called discretized stochastic dynamic programming (DSDP), for quick optimization of multi-stage decision under uncertainties. Employing the framework and analytical technique develop in this work provides significant improvement in well placement results (up to 29% increase in average reservoir contact and up to 54% decrease in well construction cost).