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  本文選題：深水完井優(yōu)選　切入點：評價指標體系　出處：《西南石油大學》2015年碩士論文

【摘要】：目前,針對陸上油氣田完井方法的優(yōu)選理論已經非常成熟,這給深水完井方法優(yōu)選帶來了一些思路。陸上完井方法的優(yōu)選主要依據(jù)地層巖石特性、原油性質以及工程措施需求等因素。并結合產能預測模型進行動態(tài)分析,再加上對完井方法的經濟評價,從而對比得到合適的完井方法。但是隨著我國對深水油氣田的大力開發(fā),陸上油氣田完井方法優(yōu)選的模型對深水油氣田的適應性也越來越差。因此,論文圍繞基于模糊數(shù)學的深水完井方法優(yōu)選這一課題,從以下幾個方面開展了研究工作。 (1)建立深水完井方法優(yōu)選原則。調研并概述了深水油氣田主要的完井方法,并結合傳統(tǒng)的完井方式選擇時所考慮的因素和原則,提出了針對深水油氣田完井方法優(yōu)選的原則。 (2)深水完井優(yōu)選評價指標的確定及處理方法。通過分析深水完井的特點,建立了產能預測、經濟評價、工程評價、HSE評估四大評價模型及相應十指標評價體系。文中的評價指標包括定量、定性兩種指標。其中,定量指標通過產能動態(tài)預測模型與經濟評價模型計算獲得。對于定性指標,由于無法計算,常常所采用的方法是模糊數(shù)學的方法,建立了相應的指標量化度表將模糊的評價變成具體的數(shù)值,再用集值統(tǒng)計法對不同的評價集區(qū)間進行數(shù)據(jù)的處理,得到處理后的參數(shù)值。另外,根據(jù)各完井方法作業(yè)施工潛在的風險,單獨建立完井作業(yè)事故樹,用以評價不同完井方法完井事故風險,并將其轉化為數(shù)學概率,加入優(yōu)選評價十指標體系。 (3)確定各優(yōu)選評價指標的權重值。在綜合決策問題的處理上,層次分析法實用性很強,并且在確定層次模型的因素權重方面有完整的理論。利用層次分析法建立了深水完井優(yōu)選指標層次模型,并計算出了深水完井優(yōu)選系統(tǒng)中評價指標的權重值,為深水完井優(yōu)選的成功實現(xiàn)提供了理論支持與技術可能。 (4)建立深水完井方法優(yōu)選的模型。根據(jù)本深水完井的特點,采用了不確定性系統(tǒng)的信息熵法優(yōu)選、灰色系統(tǒng)法優(yōu)選和Vague集法建立了相應的優(yōu)選模型。并利用平均值法、優(yōu)序法、劣序法對三種不同優(yōu)選模型得到的優(yōu)選結果綜合排序,得到最終的優(yōu)選結果。其中首次在深水完井方法優(yōu)選中使用的Vague集,是在模糊數(shù)學理論基礎上的延伸,在隸屬度上具有優(yōu)于Fuzzy集的眾多特點。以上方法的綜合運用,將使得評判結果更為客觀。 (5)在國外LIBONOLO深水稠油油田進行完井優(yōu)選模型的應用和驗證。并根據(jù)優(yōu)選模型的成功應用,將優(yōu)選模型利用Visual Basic進行編程,使得深水完井優(yōu)選過程更加簡單、直觀。
[Abstract]:At present, the theory of optimal selection for the completion method of onshore oil and gas fields has been very mature, which brings some ideas to the optimal selection of deep-water completion methods. The optimal selection of onshore completion methods is mainly based on the characteristics of formation rocks. The characteristics of crude oil and the demand for engineering measures are analyzed in combination with the productivity prediction model and the economic evaluation of the completion method. However, with the development of deep water oil and gas fields in China, the model of optimal selection of completion methods for onshore oil and gas fields is becoming more and more suitable for deepwater oil and gas fields. This paper focuses on the optimization of deepwater completion method based on fuzzy mathematics, and carries out research work from the following aspects. The main completion methods of deep water oil and gas fields are investigated and summarized. Combined with the factors and principles taken into account in the selection of traditional completion methods, the principle of optimal selection of completion methods for deepwater oil and gas fields is put forward. Through analyzing the characteristics of deepwater completion, the productivity prediction and economic evaluation are established. The four evaluation models of HSE and the corresponding evaluation system of ten indexes are used in engineering evaluation. The evaluation indexes in this paper include quantitative and qualitative indexes. The quantitative indexes are obtained by the calculation of the dynamic productivity prediction model and the economic evaluation model. For qualitative indicators, the fuzzy mathematics method is often used for the qualitative indicators because they cannot be calculated. The corresponding index quantization degree table is established to convert fuzzy evaluation into concrete value, and then the data of different evaluation set interval are processed by set value statistics method, and the treated parameter value is obtained. According to the potential risks of well completion operation, the completion accident tree is established separately to evaluate the completion accident risk of different completion methods, and to convert it into mathematical probability, and to add the ten index system of optimal selection and evaluation. (3) to determine the weight value of each optimal evaluation index. The Analytic hierarchy process (AHP) is very practical in dealing with comprehensive decision problems. And there is a complete theory in determining the factor weight of the hierarchical model. By using AHP, the hierarchical model of the optimal selection index for deepwater completion is established, and the weight value of the evaluation index in the deep-water completion optimal selection system is calculated. It provides theoretical support and technical possibility for the successful implementation of deep water completion selection. According to the characteristics of the deepwater well completion, the information entropy method of uncertain system, the grey system method and Vague set method are used to establish the optimal selection model. The Vague set, which is used for the first time in deep water well completion method, is an extension of fuzzy mathematics theory. The membership degree is superior to the Fuzzy set, and the comprehensive application of the above methods will make the evaluation results more objective. 5) the application and verification of completion optimization model in LIBONOLO deep water heavy oil field abroad, and according to the successful application of the optimal selection model, the optimal selection model is programmed by Visual Basic, which makes the process of deep water completion optimization easier and more intuitionistic.
【學位授予單位】：西南石油大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TE257

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本文編號：1684010