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首頁» 過刊瀏覽» 2016» Vol. 1» Issue (3) 330-341???? DOI : 10.3969/j.issn.2096-1693.2016.03.028
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非常規(guī)油氣儲(chǔ)層脆性指數(shù)測井評價(jià)方法研究進(jìn)展
賴錦,王貴文,范卓穎,,陳晶,,王抒忱,周正龍,范旭強(qiáng)
1中國石油大學(xué)(北京)地球科學(xué)學(xué)院,北京 102249 2中國石油大學(xué)(北京)油氣資源與探測國家重點(diǎn)實(shí)驗(yàn)室,北京 102249
Research progress in brittleness index evaluation methods with logging data in unconventional oil and gas reservoirs
LAI Jin, WANG Guiwen, FAN Zhuoying, CHEN Jing, WANG Shuchen, ZHOU Zhenglong, FAN Xuqiang
1 College of Geosciences, China University of Petroleum-Beijing, Beijing 102249, China 2 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China

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摘要? 非常規(guī)油氣儲(chǔ)層一般都需要進(jìn)行壓裂改造才能獲得工業(yè)產(chǎn)能,,而巖石脆性指數(shù)測井評價(jià)是非常規(guī)油氣儲(chǔ)層壓裂設(shè)計(jì)中應(yīng)考慮的重要因素之一。目前國內(nèi)外關(guān)于脆性指數(shù)定義眾多,、且計(jì)算方法各異,,在關(guān)于脆性指數(shù)的測井評價(jià)方法方面更是缺少一套完整的研究方法流程。本文回顧了油氣儲(chǔ)層脆性指數(shù)的研究歷程,,明確了脆性指數(shù)定義的科學(xué)內(nèi)涵,,歸納總結(jié)了脆性指數(shù)的測井評價(jià)方法。最后以鄂爾多斯盆地長7致密油儲(chǔ)層為例,,探討了主要的脆性指數(shù)測井評價(jià)方法計(jì)算流程及其有效性,。在有縱、橫波測井資料時(shí),,可利用泊-楊法直接計(jì)算巖石脆性指數(shù),。同時(shí)也可通過元素俘獲測井礦物成分比值法計(jì)算脆性指數(shù)。此外基于常規(guī)測井的最優(yōu)化方法確定礦物組分,利用礦物成分比值法也能計(jì)算脆性指數(shù),。通過X-射線衍射資料與巖性系數(shù)GR/Pe的回歸擬合建立地區(qū)經(jīng)驗(yàn)公式,,也可實(shí)現(xiàn)巖石脆性指數(shù)的測井評價(jià)。最后對脆性指數(shù)測井計(jì)算中存在的問題進(jìn)行歸納總結(jié),,并對未來發(fā)展方向做出展望,。研究成果可為非常規(guī)油氣儲(chǔ)層鉆井和壓裂設(shè)計(jì)工作提供科學(xué)指導(dǎo)。
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關(guān)鍵詞 : 脆性指數(shù),; 非常規(guī)油氣資源,; 儲(chǔ)層,; 測井評價(jià); 長7致密油
Abstract

  Unconventional oil and gas reservoirs typically require fracturing to achieve industrial capacity. Logging evaluation for rock brittleness is one of the important factors that should be considered in the design of fracturing for unconventional oil and gas reservoirs. At home and abroad, the brittleness index is defined variably and calculated by different methods. However, there is a lack of a complete research method flow for brittleness index evaluation with logging data. This paper reviews the history of the oil and gas reservoir brittleness index, provides a scientific evaluation of brittleness index definitions and summarizes brittleness index calculation methods. Finally, the Chang 7 tight oil reservoir in Ordos Basin is taken as an example for discussing the calculation processes and effectiveness of logging evaluation methods for brittleness index. When there are comprehensive wave and shear wave logging data, the rock brittleness index can be calculated directly by Poisson’s ratio and Young’s modulus method or by using mineral composition which could be gained from either Elemental Capture Spectroscopy (ECS) logging curves or optimization method based on conventional logging data. X-ray diffraction data and regression of GR/Pe can also be used to establish an empirical formula for the brittleness index which is suitable for the target study layers to achieve logging evaluation of the brittleness index. Finally, the problems existing in the brittleness index evaluation with logging data are discussed, and the future development direction is put forward. The research results can provide scientific guidance for drilling and fracturing layer optimization of unconventional oil and gas reservoirs.

Key words: brittleness index ; unconventional oil and gas resources ; reservoirs ; logging evaluation ; Chang 7 tight oil
收稿日期: 2016-07-28 ????
PACS: ? ?
基金資助:國家科技重大專項(xiàng)(2011ZX05020-008,、2016ZX05019-005-007),、國家自然科學(xué)基金(41472115)聯(lián)合資助
通訊作者: [email protected]
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賴錦,王貴文,,范卓穎,,陳晶,王抒忱,,周正龍,,范旭強(qiáng). 非常規(guī)油氣儲(chǔ)層脆性指數(shù)測井評價(jià)方法研究進(jìn)展[J]. 石油科學(xué)通報(bào), 2016, 1(3): 330-341. LAI Jin, WANG Guiwen, FAN Zhuoying, CHEN Jing, WANG Shuchen, ZHOU Zhenglong, FAN Xuqiang. Research progress in brittleness index evaluation methods with logging data in unconventional oil and gas reservoirs. 石油科學(xué)通報(bào), 2016, 1(3): 330-341.
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