發(fā)布時(shí)間：2018-05-19 09:30

  本文選題：裂縫識別 + 裂縫參數(shù)��； 參考：《東華理工大學(xué)》2015年碩士論文

【摘要】：隨著石油工業(yè)的迅猛發(fā)展和全球?qū)δ茉吹木薮笮枨?裂縫性油氣藏的勘探和開發(fā)已顯得尤為重要,裂縫性儲層的識別和評價(jià)是裂縫性油氣藏勘探開發(fā)的基礎(chǔ)。本文在國內(nèi)外學(xué)者們對裂縫性儲層所做研究的基礎(chǔ)上,以川西南地區(qū)致密砂巖儲層為研究對象,對裂縫識別和儲層評價(jià)工作進(jìn)行了研究,其主要的研究工作及成果有以下幾點(diǎn):(1)為了提高電成像測井的裂縫識別精度,對研究區(qū)的電成像測井?dāng)?shù)據(jù)進(jìn)行了多種濾波處理,可以有效增強(qiáng)裂縫信息,在一定程度上提高了電成像測井裂縫識別精度。(2)利用小波變換方法、中值濾波和均值濾波方法對電成像測井和常規(guī)測井?dāng)?shù)據(jù)進(jìn)行濾波處理,將濾波數(shù)據(jù)與裂縫密度的相關(guān)性分析作為最佳濾波方法的選擇依據(jù)。其中,中值濾波能較好的體現(xiàn)出裂縫形態(tài)和裂縫位置信息;小波變換能較好的體現(xiàn)出儲層裂縫發(fā)育段的信息。(3)在常規(guī)測井?dāng)?shù)據(jù)濾波處理的基礎(chǔ)上,建立裂縫指示曲線對儲層裂縫發(fā)育段進(jìn)行識別研究。利用單一的測井方法識別裂縫發(fā)育段會有較大誤差,需要將多種測井方法或裂縫指示曲線相結(jié)合,構(gòu)建綜合裂縫指示曲線來識別裂縫發(fā)育段。其中,綜合裂縫指示曲線所識別的裂縫發(fā)育段與成像測井所識別的裂縫發(fā)育段有很好的對應(yīng),識別效果較理想。(4)利用常規(guī)測井?dāng)?shù)據(jù)對裂縫發(fā)育段的裂縫參數(shù)進(jìn)行求取,將所求取的裂縫參數(shù)與電成像測井所劃分的儲層分級評價(jià)進(jìn)行對比分析,建立裂縫參數(shù)對儲層分級的標(biāo)準(zhǔn)。(5)以裂縫性儲層分級為基礎(chǔ),將裂縫開度、滲透率參數(shù)與成像測井提取的裂縫密度相結(jié)合,建立儲層分類標(biāo)準(zhǔn),將該分類標(biāo)準(zhǔn)與裂縫孔隙度、次生孔隙度、裂縫概率和裂縫分維參數(shù)進(jìn)行對比分析,得出利用常規(guī)測井曲線對裂縫性儲層進(jìn)行分類的標(biāo)準(zhǔn),并進(jìn)行應(yīng)用。
[Abstract]:With the rapid development of petroleum industry and the huge global demand for energy, the exploration and development of fractured reservoirs has become particularly important, and the identification and evaluation of fractured reservoirs is the basis of exploration and development of fractured reservoirs. Based on the research of fractured reservoirs made by domestic and foreign scholars, this paper takes the dense sandstone reservoirs in southwest Sichuan as the research object, and studies the work of fracture identification and reservoir evaluation. Its main research work and results are as follows: (1) in order to improve the fracture identification accuracy of the electric imaging logging, various filtering processes have been carried out on the electrical imaging logging data in the study area, which can effectively enhance the fracture information. To some extent, the accuracy of fracture recognition in electrical imaging logging is improved. (2) Wavelet transform, median filter and mean filter are used to filter and process electrical imaging logging and conventional logging data. The correlation analysis between the filtered data and the crack density is taken as the basis for selecting the best filtering method. Among them, median filter can better reflect the information of fracture shape and fracture position, wavelet transform can better reflect the information of reservoir fracture development section, and on the basis of conventional logging data filtering, wavelet transform can better reflect the information of reservoir fracture development section. The fracture indication curve is established to identify the fracture development section. It is necessary to combine multiple logging methods or fracture indicator curves to identify the developed fracturing segments by using a single logging method. Among them, the fracture development segment identified by synthetic fracture indication curve has a good correspondence with the fracture development segment identified by imaging logging, and the recognition effect is ideal. 4) using conventional logging data, the fracture parameters of the fracture developing section are obtained. The fracture parameters obtained are compared with the reservoir classification and evaluation by electrical imaging logging, and the fracture opening degree is established on the basis of fracture reservoir classification based on fracture parameter classification. Combining permeability parameters with fracture density extracted by imaging logging, a reservoir classification standard is established and compared with fracture porosity, secondary porosity, fracture probability and fracture fractal dimension parameters. The criteria for classification of fractured reservoirs by conventional logging curves are obtained and applied.
【學(xué)位授予單位】：東華理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：P631.81

【共引文獻(xiàn)】

相關(guān)博士學(xué)位論文 前3條

1 李玉梅;朝陽溝油田朝5北井區(qū)裂縫性儲層建模與剩余油定量評價(jià)[D];中國地質(zhì)大學(xué)（北京）;2011年

2 單俊峰;遼河坳陷變質(zhì)巖潛山內(nèi)幕成藏條件研究[D];中國地質(zhì)大學(xué)（北京）;2007年

3 張瑩;火山巖巖性識別和儲層評價(jià)的理論與技術(shù)研究[D];吉林大學(xué);2010年

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本文編號：1909579