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dc.contributor.advisorMacBeth, Professor Colin
dc.contributor.advisorMangriotis, Doctor Maria Daphne
dc.contributor.authorNguyen, Phung Kim Thi
dc.date.accessioned2019-04-23T16:38:20Z
dc.date.available2019-04-23T16:38:20Z
dc.date.issued2018-08
dc.identifier.urihttp://hdl.handle.net/10399/3969
dc.description.abstractTime-lapse velocity changes represent changes in pore-fluid and rock properties within the reservoir, reflect the geomechanical effects and provide input to an imaging correction for enhanced time-lapse interpretation. Here I present three different time-lapse velocity change estimation methods that can be applied to time-shifts from both post-stack data and also partial-stacked data. The aim of this research is to calculate robust yet stable and efficient algorithms for velocity change estimation by analytical development. Starting with the post-stack domain, I firstly develop a new method of Gaussian reconstruction that allows stable recovery of the time-lapse velocity changes despite varying levels of noise in the post-stack time-shifts. I then extend to partial-stack time-shift domain where the dependency of time-shift versus o set is explored via an extensive revision together with numerical examples before presenting the development of another robust method to extract the time-lapse velocity changes from partial-stack time-shifts. Here, I simplify tomographic inversion by using a straight-ray assumption and specialised re-gridding technique. In addition to time-shifts, in the post-stack seismic domain, amplitude changes are taken into account together with time-shifts and are inverted simultaneously by incorporating the Gaussian reconstruction method into a trace-warping algorithm. Overall, the algorithms developed in this work perform well when applied to data from the high-pressure high-temperature Shearwater field. Time-lapse velocity changes are shown to be inverted in a robust and efficient manner, without the need of a prior model or over-regularisation. The techniques are sufficiently versatile that they can be applied to different data types: post-stack time-shifts, partial-stack time-shifts or post-stack seismic traces.en
dc.language.isoenen
dc.publisherHeriot-Watt Universityen
dc.publisherEnergy, Geoscience, Infrastructure and Societyen
dc.rightsAll items in ROS are protected by the Creative Commons copyright license (http://creativecommons.org/licenses/by-nc-nd/2.5/scotland/), with some rights reserved.
dc.titleEstimation of time-lapse velocity changes from time-lapse seismic dataen
dc.typeThesisen


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