We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Applying High Power Lasers in Perforating Oil and Gas Wells: Prediction of the Laser Power Loss During Laser Beam-Fluid Interaction by Using Artificial Neural Networks.
- Authors
KESHAVARZI, R.; JAHANBAKHSHI, R.; BAYESTEH, H.; GHORBANI, A.; SHOOREHDELI, M. A.
- Abstract
In the petroleum industry perforating is a method of making holes through the casing opposite the production formation to allow the oil or gas to flow into the well. In the current explosive shaped charge perforation method there arc some serious problems, such as producing debris. uncontrollable hole size and shape, compaction of rock formation in the area next to the tunnel and decreasing permeability. Recent advances in high power laser technology provide a new alternative to replace the current perforating gun. Due to the nature of oil and gas reservoirs, one of the challenges in laser perforation is the laser beam-fluid interaction that results in laser power loss (LPL), In this paper, feed-forward network with back-propagation and generalized regression neural networks have been developed to predict LPL in the laser beam-fluid interaction during laser perforation. Effective parameters in the laser-fluid interaction such as laser power, fluid viscosity and fluid thickness which arc related to laboratory tests done by ytterbium-doped multi-clad fibre laser are the inputs and LPL is the output of the neural networks. The developed neural networks have shown high correlation coefficients with low error and the LPL for the laser beam-fluid interaction during laser perforation was predicted with high accuracy.
- Subjects
HIGH power lasers; COMPLETION fluids; GAS wells; LASER beams; ENERGY dissipation; FLUID-structure interaction; ARTIFICIAL neural networks; DOPED semiconductors; FIBER lasers
- Publication
Lasers in Engineering (Old City Publishing), 2011, Vol 21, Issue 5/6, p329
- ISSN
0898-1507
- Publication type
Academic Journal