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Well trajectory design is an essential part of well planning that affects the entire well design and drilling program. Until today, many well trajectories were designed in a silo by directional service company well planners based on surface coordinates, subsurface targets coordinates, and constraints provided by operators. Geologists also designed trajectories in the geology and geophysics (G&G) applications and then transferred them to well-planning applications. There are many trajectory path possibilities, and the proposed design depends on the designer's experiences. Engineering validation, such as geomechanics, torque and drag, bottom-hole assembly (BHA) tendency, etc., was not checked during generating trajectories and analyzed in different workflows or applications. With the siloed approach and disconnected workflows, trajectory design has become time-consuming because of multiple iterations, discussions, and data sharing. The engineer tries to solve the design constraint and validation issue identified by other workflows one-by-one. Today, we have various map applications that can design and propose the best route from the start point to the target destination. The application can provide multiple options, including performance indicators such as the shortest distance, shortest time, fewer traffic-lights, or lower cost. Users can also provide some constraints on the proposed route, such as avoiding tolls and avoiding highways. A new collaborative well planning application was developed in a cloud-native environment, which includes validation workflow. The application can perform automated trajectory design and calculate all possible paths for the given surface location, target location, and other constraints defined by the engineer. Engineers can evaluate every result and select the optimum trajectory based on key performance indicators such as total length, maximum dogleg severity, and kick-off depth. Additionally, various engineering analysis validations are performed simulatenously, such as anti-collision, hole stability, torque and drag, hydraulics, and BHA tendency. The result is compared with the limit or criteria to give the engineer instant feedback if the new trajectory design causes potential risk in other workflows. The anti-collision analysis is fully automated, from selecting the offset wells, calculating the separation factor, and displaying the result as a traffic light visualization. The cloud-based geomechanics application provides a mechanical earth model that enables auto-validation when the trajectory is created and flags hole stability risks. In this well construction planning solution, a cross-domain team can collaborate on well-planning tasks simultaneously, with automation that improves working efficiency. |
