Abstract Onshore field of South Sumatra basin are known as one of the largest oil petroleum systems in Indonesia. Its production rates are considerably high and healthy as there are multiple target layers of sandstone reservoir with sustainable pressure (Galih, et al.2023). This natural ease had levelled up the confidence to do extraction with factory wells design, means applying similarity of drilling operations (such as trajectories profile and BHA configuration) for several areas in the field. The significant amount of time in preparation was reduced with this method. The next level of time saving comes from maximizing the drilling operations in each well. The case study in this paper will elaborate the initial implementation of drilling technology known as intelligent rotary-steerable-system (RSS) push-the-bit to improve each well delivery time. Two types of wells, which represent the most common design of trajectory in this subject field, were selected to implement this novel technology. On a J-Type well with target inclination of ~ 22 deg, RSS capabilities are reviewed in the 12.25in hole section by gauging the performance in maintaining tangent interval of ~770 m. In a S-Type well with maximum inclination of ~18 deg inclination, RSS was evaluated in the 8.5in hole section on holding a verticality until the end of well for ~785 m. Both cases were having a comprehensive logging-while-drilling (LWD) suite consisting of gamma ray, resistivity, density, neutron porosity, pressure-while-drilling, and vibration mitigation tool. In addition, this technology is equipped with an automation platform which enables autosteer services to achieve precise steering with a reduced tortuosity borehole, while simultaneously increasing the rate-of-penetration (ROP). Offset wells analysis of each field had helped to form optimized configuration for the RSS. Identification of formation hardness, lithology lamination, loss, washout and tight hole hazard zones, reactive shales, and hard stringers were all considered in the optimization of RSS hydraulics design. Overcoming respective challenges, Target Well-1 has successfully achieved a significant ROP of ~65 m/hr with precise placement of 0.15 m center-to-center to plan and average dog-leg-severity (DLS) at ~0.5 deg/30m in the 12.25in hole. Laminated formation with massive change in strength properties, was a major challenge in this Field-G that may cause steering drift. Performance of automation platform plays a prominent role in achieving quick and adaptive control. Intelligent RSS ability of applying automated trajectory control, coupled with active machine learning algorithm had managed to secure precise placement in this well. In Field-B, Target Well-2 successfully achieved up to ~80 m/hr with 1.55 m center-to-center to plan and average of DLS 0.2 deg/30m in 8.5in hole. Excessive torsional vibration is a repetitive obstacle in this Field-B environment and has reduced the BHA outcome in several wells. The stability and consistency of RSS performance throughout this run had enabled a good quality borehole. intelligent RSS and the autonomous drilling platform predicting the optimum commands to create a smooth wellbore. A new benchmark was set in this entire factory wells project. These first runs in each field have proven the capabilities to push time and cost savings by applying novel technology in drilling operations. The case studies show the proven RSS can produce benefits of up to 3 times higher delivery time compared to the surrounding offset wells that utilize conventional mud displacement motor. Future applications towards the entire campaign may significantly be a game-changer in onshore drilling operations.
Manurung et al. (Mon,) studied this question.
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