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Research And Implementation On Aided Design Method Of Well Drilling Of Completion Scheme

Posted on:2015-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:X LiFull Text:PDF
GTID:2181330431494853Subject:Petroleum engineering calculations
Abstract/Summary:PDF Full Text Request
Well drilling for completion is a crucial issue in the process of oilfield completion. As aresult, the reasonable design of well drilling is the foundation and the guarantee to improvethe cementing quality and the oil field production. At present, the heterogeneity of the fielddata, the variability of the well completion’s production process and complexity of theprofessional knowledge, leading to well drilling scheme design and measures of adjusting ishigher difficult.At present, well drilling scheme design is facing the following problems: first, thedeveloping process does not get rid of the artificial model, which leads to the efficiency andautomation level is lower; second, artificial design mainly depend on expert experience,usually has the ambiguity and subjectivity, which is likely to make errors; third, theproduction process is easy to ignore the well drilling effects on yield and cementing quality.Faced with these problems, this paper combines with the practical situation of oilfieldand expert knowledge of well completion, thorough research in scheme aided design method.The main contents can be stated as follows:1. According to the characteristics of the well drilling of completion data, through theanalysis of the information integration, constructe the metadata management and use thequery decomposition and optimization strategy, eventually build the well drilling integratedresource management system based on metadata, effectively achieve the purpose of datasharing and improve the efficiency of access.2. Based on integrated resource management platform, combined with the fuzzy theory,bring in the three layers of fuzzy knowledge representation method. The framework-production knowledge architecture based on fuzzy logic is proposed, combined fuzzymatching function to perfect the expert knowledge reasoning for well drilling scheme aideddesign support.3. Combining the integrated resource management with expert system complete the welldrilling scheme aided design model. Prove the feasibility of the model and provide thedecision support for well drilling scheme combined with the actual project application, whichguarantees stable oil field production.Combined with these contents, this paper adopts the "data persistence layer-businesslogic layer-presentation layer" three-level architecture building the model overall framework.
Keywords/Search Tags:Well Drilling, Metadata, Expert System, Fuzzy Logic
PDF Full Text Request
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