本文選題：深水完井優(yōu)選　切入點(diǎn)：評(píng)價(jià)指標(biāo)體系　出處：《西南石油大學(xué)》2015年碩士論文

【摘要】：目前,針對(duì)陸上油氣田完井方法的優(yōu)選理論已經(jīng)非常成熟,這給深水完井方法優(yōu)選帶來(lái)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(zhì)以及工程措施需求等因素。并結(jié)合產(chǎn)能預(yù)測(cè)模型進(jìn)行動(dòng)態(tài)分析,再加上對(duì)完井方法的經(jīng)濟(jì)評(píng)價(jià),從而對(duì)比得到合適的完井方法。但是隨著我國(guó)對(duì)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(duì)深水油氣田的適應(yīng)性也越來(lái)越差。因此,論文圍繞基于模糊數(shù)學(xué)的深水完井方法優(yōu)選這一課題,從以下幾個(gè)方面開展了研究工作。 (1)建立深水完井方法優(yōu)選原則。調(diào)研并概述了深水油氣田主要的完井方法,并結(jié)合傳統(tǒng)的完井方式選擇時(shí)所考慮的因素和原則,提出了針對(duì)深水油氣田完井方法優(yōu)選的原則。 (2)深水完井優(yōu)選評(píng)價(jià)指標(biāo)的確定及處理方法。通過分析深水完井的特點(diǎn),建立了產(chǎn)能預(yù)測(cè)、經(jīng)濟(jì)評(píng)價(jià)、工程評(píng)價(jià)、HSE評(píng)估四大評(píng)價(jià)模型及相應(yīng)十指標(biāo)評(píng)價(jià)體系。文中的評(píng)價(jià)指標(biāo)包括定量、定性兩種指標(biāo)。其中,定量指標(biāo)通過產(chǎn)能動(dòng)態(tài)預(yù)測(cè)模型與經(jīng)濟(jì)評(píng)價(jià)模型計(jì)算獲得。對(duì)于定性指標(biāo),由于無(wú)法計(jì)算,常常所采用的方法是模糊數(shù)學(xué)的方法,建立了相應(yīng)的指標(biāo)量化度表將模糊的評(píng)價(jià)變成具體的數(shù)值,再用集值統(tǒng)計(jì)法對(duì)不同的評(píng)價(jià)集區(qū)間進(jìn)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(fēng)險(xiǎn),單獨(dú)建立完井作業(yè)事故樹,用以評(píng)價(jià)不同完井方法完井事故風(fēng)險(xiǎn),并將其轉(zhuǎn)化為數(shù)學(xué)概率,加入優(yōu)選評(píng)價(jià)十指標(biāo)體系。 (3)確定各優(yōu)選評(píng)價(jià)指標(biāo)的權(quán)重值。在綜合決策問題的處理上,層次分析法實(shí)用性很強(qiáng),并且在確定層次模型的因素權(quán)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(biāo)層次模型,并計(jì)算出了深水完井優(yōu)選系統(tǒng)中評(píng)價(jià)指標(biāo)的權(quán)重值,為深水完井優(yōu)選的成功實(shí)現(xiàn)提供了理論支持與技術(shù)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(diǎn),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(yīng)的優(yōu)選模型。并利用平均值法、優(yōu)序法、劣序法對(duì)三種不同優(yōu)選模型得到的優(yōu)選結(jié)果綜合排序,得到最終的優(yōu)選結(jié)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(xué)理論基礎(chǔ)上的延伸,在隸屬度上具有優(yōu)于Fuzzy集的眾多特點(diǎn)。以上方法的綜合運(yùn)用,將使得評(píng)判結(jié)果更為客觀。 (5)在國(guó)外LIBONOLO深水稠油油田進(jìn)行完井優(yōu)選模型的應(yīng)用和驗(yàn)證。并根據(jù)優(yōu)選模型的成功應(yīng)用,將優(yōu)選模型利用Visual Basic進(jìn)行編程,使得深水完井優(yōu)選過程更加簡(jiǎn)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(xué)位授予單位】：西南石油大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TE257

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