Paper
22 May 2014 Path optimization for oil probe
O'Neil Smith, Mark Rahmes, Mark Blue, Adrian Peter
Author Affiliations +
Abstract
We discuss a robust method for optimal oil probe path planning inspired by medical imaging. Horizontal wells require three-dimensional steering made possible by the rotary steerable capabilities of the system, which allows the hole to intersect multiple target shale gas zones. Horizontal "legs" can be over a mile long; the longer the exposure length, the more oil and natural gas is drained and the faster it can flow. More oil and natural gas can be produced with fewer wells and less surface disturbance. Horizontal drilling can help producers tap oil and natural gas deposits under surface areas where a vertical well cannot be drilled, such as under developed or environmentally sensitive areas. Drilling creates well paths which have multiple twists and turns to try to hit multiple accumulations from a single well location. Our algorithm can be used to augment current state of the art methods. Our goal is to obtain a 3D path with nodes describing the optimal route to the destination. This algorithm works with BIG data and saves cost in planning for probe insertion. Our solution may be able to help increase the energy extracted vs. input energy.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
O'Neil Smith, Mark Rahmes, Mark Blue, and Adrian Peter "Path optimization for oil probe", Proc. SPIE 9106, Advanced Environmental, Chemical, and Biological Sensing Technologies XI, 91060N (22 May 2014); https://doi.org/10.1117/12.2050033
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KEYWORDS
General packet radio service

3D modeling

Reflection

Data modeling

Environmental sensing

3D acquisition

Computer architecture

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