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dc.contributor.advisorKhosravanian, Rasool
dc.contributor.advisorAadnøy, Bernt Sigve
dc.contributor.authorRiaz, Sarmad
dc.date.accessioned2021-09-29T16:30:59Z
dc.date.available2021-09-29T16:30:59Z
dc.date.issued2021
dc.identifierno.uis:inspera:78834591:34074012
dc.identifier.urihttps://hdl.handle.net/11250/2786383
dc.description.abstractWell completion is the important system to put the well into the production phase. This well completion engineering system is complex engineering which requires reservoir drilling, cementing of the well, installation of the completion systems according to the well specifications, and then finally initiate the production phase of the well. Due to the major role in the production, stability and life of the well, the oilfields economic benefits are much influenced by the well completion methodology selection. For well completion selection we have various models and specific methodologies, but it is proven that all the selection models are partial due to enhanced focus on quantitative and numerical indexes for example initial production etc. The expert’s opinion has a major role for well completion selection as the selection process is very sophisticated and decision makers from various technological background provide useful information and knowledge which finally can help us to design an optimum well completion design. In this thesis, I will develop a fuzzy TOPSIS decision making software prototype for well completion models selection. I will use linguistic variables instead of crisp values for prototype development due to the data inadequacy to solve the real world problems, and also human beings are not good in judgments and preferences where they have to estimate the exact numerical values for their decisions. So, the use of linguistic variables seems to be more realistic approach where I can rate and weight each criterion for completion models in terms of linguistic variables for assessment. A case study is discussed in the Chapter 5 to select the well completion model for the Iris production field. Iris field is located on the North Continental Shelf and to the west of Morvin field. Iris reservoir properties indicates that it is HPHT well and it belongs to the Garn formation of Middle Jurassic age. A decision-making system, Fuzzy TOPSIS, developed in this thesis will be applied on the Iris production field to select the lower completion, middle completion, and upper completion.
dc.description.abstract
dc.languageeng
dc.publisheruis
dc.titleManufacturing Software Prototype for applying fuzzy MCDM in Well completion optimization
dc.typeMaster thesis


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