本文選題：中基性火山巖　切入點(diǎn)：人工蜂群算法　出處：《吉林大學(xué)》2017年碩士論文

【摘要】：近年來(lái),由于勘探水平的陸續(xù)提高以及砂巖、碳酸鹽巖等儲(chǔ)層資源總量不斷降低,使火山巖儲(chǔ)層成為另一個(gè)重要勘探領(lǐng)域。作為對(duì)常規(guī)油氣資源的補(bǔ)充,火山巖儲(chǔ)層不僅備受石油地質(zhì)學(xué)家們的關(guān)注,同時(shí)引起我國(guó)油田勘探界學(xué)者的重視。然而火山巖的巖性和儲(chǔ)層類型繁雜、埋藏深度大、物性較差以及火山巖儲(chǔ)層往往還存在著蝕變現(xiàn)象,所以,開展火山巖儲(chǔ)層的測(cè)井評(píng)價(jià)研究是一項(xiàng)不僅具有明顯理論價(jià)值,還具有重要現(xiàn)實(shí)意義的工作。常規(guī)解釋方法存在著諸如測(cè)井資料應(yīng)用不充分、不能靈活選擇解釋模型、對(duì)多礦物復(fù)雜地層難以有效評(píng)價(jià)等問題。常規(guī)測(cè)井解釋方法已經(jīng)不能完全滿足復(fù)雜的火山巖儲(chǔ)層測(cè)井評(píng)價(jià)。最優(yōu)化測(cè)井解釋方法與采用固定解釋模型的常規(guī)測(cè)井解釋方法不同,它可以將測(cè)井信息、誤差及地區(qū)地質(zhì)經(jīng)驗(yàn)綜合成多維信息復(fù)合體,通過(guò)選取數(shù)學(xué)中的最優(yōu)化方法并采用合理的解釋模型和測(cè)井響應(yīng)方程,建立最優(yōu)化測(cè)井解釋響應(yīng)目標(biāo)函數(shù),在誤差允許范圍內(nèi),計(jì)算出一個(gè)最能反映解釋點(diǎn)地層地質(zhì)因素的目的層參數(shù)的最優(yōu)解。本文針對(duì)松遼盆地南部W斷陷中基性火山巖儲(chǔ)層,從微觀參數(shù)層面出發(fā),根據(jù)研究區(qū)的巖心、薄片以及壓汞數(shù)據(jù)分析,共采用了五種方法進(jìn)行孔隙度及滲透率的下限值求取,分別為經(jīng)驗(yàn)統(tǒng)計(jì)法、孔隙度-滲透率交會(huì)法、0.1μm進(jìn)汞飽和度法、以及最小孔喉半徑法和中值壓力法。并根據(jù)試氣資料對(duì)計(jì)算出的下限值進(jìn)行驗(yàn)證,結(jié)果表明本文所用方法可靠,為油氣勘探開發(fā)和后期決策奠定了基礎(chǔ)。由于研究區(qū)中基性火山儲(chǔ)層發(fā)生蝕變現(xiàn)象,故需要在最優(yōu)化體積解釋模型中考慮次生的粘土礦物,建立了考慮蝕變的中基性火山巖儲(chǔ)層模型為孔隙、石英、長(zhǎng)石、暗色礦物及蝕變的粘土礦物,利用人工蜂群-復(fù)合形混合優(yōu)化方法求取松遼盆地南部W斷陷中基性火山巖儲(chǔ)層某井段的五個(gè)組分體積含量。其中人工蜂群算法是一種新興的優(yōu)化算法,為蝕變中基性火山巖儲(chǔ)層的最優(yōu)化測(cè)井解釋提供了一種新方法。并計(jì)算了考慮蝕變現(xiàn)象的飽和度值,在W斷陷多口井進(jìn)行了實(shí)際處理,結(jié)果與試氣結(jié)論符合。本文主要?jiǎng)?chuàng)新點(diǎn)包括:從微觀參數(shù)層面出發(fā),針對(duì)研究區(qū)中基性火山巖儲(chǔ)層,確定儲(chǔ)層孔隙度及滲透率的下限值;考慮蝕變因素,建立中基性火山巖儲(chǔ)層模型為孔隙、石英、長(zhǎng)石、暗色礦物及蝕變的粘土礦物;將人工蜂群算法引入中基性火山巖儲(chǔ)層的測(cè)井解釋中,并與復(fù)合形算法結(jié)合來(lái)求解上述五個(gè)未知組分參數(shù)值。
[Abstract]:In recent years, volcanic reservoir has become another important exploration field because of the continuous improvement of exploration level and the decrease of sandstone, carbonate and other reservoir resources, as a supplement to conventional oil and gas resources. Volcanic reservoir has not only attracted the attention of petroleum geologists, but also attracted the attention of oil exploration scholars in China. However, the lithology and reservoir types of volcanic rocks are complicated, and the depth of burial is large. Because of the poor physical properties and the phenomenon of alteration in volcanic reservoir, it is not only of great theoretical value to carry out well logging evaluation of volcanic reservoir. There are also important work of practical significance. Conventional interpretation methods, such as inadequate application of logging data, are unable to flexibly select interpretation models, It is difficult to effectively evaluate the multi-mineral complex formation. The conventional logging interpretation method can not fully satisfy the complex volcanic reservoir logging evaluation. The optimization logging interpretation method is different from the conventional logging interpretation method using a fixed interpretation model. It can synthesize logging information, error and regional geological experience into multi-dimensional information complex. By selecting optimization method in mathematics and adopting reasonable interpretation model and logging response equation, the objective function of optimum logging interpretation response can be established. An optimal solution of the target layer parameters, which can best reflect the geological factors of the interpretation point, is calculated within the range of errors. In this paper, the microcosmic parameters of the basic volcanic reservoir in the W fault depression in the south of Songliao Basin are studied. Based on the analysis of core, thin slice and mercury injection data in the study area, five methods were used to calculate the lower limit of porosity and permeability, namely, empirical statistics method, porosity permeability intersection method and 0.1 渭 m mercury saturation method. The minimum pore throat radius method and the median pressure method are used to verify the calculated lower limit values according to the gas test data. The results show that the method used in this paper is reliable. It is necessary to consider the secondary clay minerals in the optimal volume interpretation model because of the alteration of the basic volcanic reservoir in the study area. In this paper, a model of meso-basic volcanic reservoir considering alteration is established, which consists of pore, quartz, feldspar, dark mineral and altered clay mineral. The volume content of five components in a well section of a basic volcanic rock reservoir in W fault depression in the south of Songliao Basin is obtained by using the hybrid optimization method of artificial bee colony and complex shape, among which artificial bee colony algorithm is a new optimization algorithm. This paper provides a new method for optimizing logging interpretation of basic volcanic rock reservoir in alteration, calculates saturation value considering alteration phenomenon, and carries out practical processing in many wells of W fault depression. The results are consistent with the conclusion of gas test. The main innovation of this paper is to determine the lower limit of reservoir porosity and permeability from the microscopic parameter level, considering the alteration factors, and to determine the lower limit of porosity and permeability of the middle and basic volcanic reservoir in the study area. The model of middle basic volcanic reservoir is established as pore, quartz, feldspar, dark mineral and altered clay mineral, and artificial bee colony algorithm is introduced into logging interpretation of middle basic volcanic reservoir. And combined with the complex algorithm to solve the above five unknown component parameters.
【學(xué)位授予單位】：吉林大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：P618.13;P631.81

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