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首頁» 過刊瀏覽» 2020» Vol.5» Issue(1) 39-48???? DOI : 10.3969/ j.issn.2096-1693.2020.01.004
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濱里海盆地東緣中區(qū)塊碳酸鹽巖儲(chǔ)層滲透率預(yù)測(cè)研究
趙培強(qiáng),,李長文,,沙峰,張莉莉,毛志強(qiáng),,蔣新宇
1 中國石油大學(xué)( 北京) 油氣資源與探測(cè)國家重點(diǎn)實(shí)驗(yàn)室,,北京 102249 2 中國石油大學(xué)( 北京) 地球探測(cè)與信息技術(shù)北京市重點(diǎn)實(shí)驗(yàn)室,,北京 102249 3 中國石油集團(tuán)測(cè)井有限公司國際事業(yè)部,,北京 102206 4 長城鉆探工程有限公司國際測(cè)井公司,北京 100101
Study of permeability prediction of carbonate reservoirs in the middle block of the eastern margin of the Caspian Basin
ZHAO Peiqiang, LI Changwen, SHA Feng, ZHANG Lili, MAO Zhiqiang, JIANG Xinyu
1 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China 2 Beijing Key Laboratory of Earth Prospecting and Information Technology, China University of Petroleum-Beijing, Beijing 102249, China 3 CNPC Logging International Division, Beijing 102206, China 4 International Logging Company, CNPC Greatwall Drilling Company, Beijing 100101, China

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摘要? 濱里海盆地東緣中區(qū)塊石炭系KT-II碳酸鹽巖儲(chǔ)層孔隙類型復(fù)雜多變,,導(dǎo)致利用毛管壓力曲線準(zhǔn)確預(yù)測(cè)滲透率困難,。本文開展了基于毛管壓力曲線的Purcell模型、Swanson參數(shù),、Capilliary-parachor參數(shù),、R25、R35,、R50等6種滲透率預(yù)測(cè)模型在研究區(qū)的適用性分析,。在此基礎(chǔ)之上,以孔隙度和毛管壓力曲線特征參數(shù)等7 個(gè)敏感性參數(shù)作為輸入向量,,利用基于粒子群參數(shù)優(yōu)化的支持向量機(jī)方法預(yù)測(cè)滲透率,。研究表明,傳統(tǒng)的滲透率模型應(yīng)用效果差,,Purcell模型雖然優(yōu)于其它幾種模型,,其預(yù)測(cè)值與測(cè)量值間的確定系數(shù)僅為0.763;支持向量機(jī)方法預(yù)測(cè)的滲透率效果良好,,訓(xùn)練樣本,、測(cè)試樣本的預(yù)測(cè)結(jié)果與測(cè)量值的確定系數(shù)分別為0.917 和0.883,且相對(duì)誤差多小于30%,,在一定程度上克服了傳統(tǒng)滲透率模型對(duì)碳酸鹽巖儲(chǔ)層適用性差的缺陷,,為儲(chǔ)層評(píng)價(jià)提供有效信息。
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關(guān)鍵詞 : 碳酸鹽巖儲(chǔ)層,;滲透率預(yù)測(cè);毛管壓力曲線,;支持向量機(jī)
Abstract

The pore types of Carboniferous KT-II carbonate reservoirs in the middle block of the eastern margin of the Caspian Basin are complex and variable, which makes it difficult to predict the permeability accurately. In the studied area, application analysis was undertaken of six permeability prediction models based on capillary pressure curves. These were the Purcell model,Swanson parameter, capillary-parachor parameter, R25, R35 and R50. On this basis, seven sensitive parameters including porosity and other parameters obtained from capillary pressure curve are selected as input vectors, and the particle swarm optimization support vector machine (PSO-SVM) method is used to predict permeability. Results show that the traditional permeability models provide unreasonable results. Although the Purcell model is superior to other models, the coefficient of determination between predicted and measured results is only 0.763. The permeability predicted by support vector machine is reliable. The coefficients of determination of predicted results of training samples and test samples with measured values are 0.913 and 0.854,respectively. The proposed method overcomes the shortcomings of the traditional permeability model to carbonate reservoirs to a certain extent, and provides valuable information for formation evaluation.

Key words: carbonate reservoir; permeability prediction; capillary pressure curve; support vector machine
收稿日期: 2020-03-28 ????
PACS: ? ?
基金資助:中國石油集團(tuán)測(cè)井有限公司項(xiàng)目“乍得,、尼日爾復(fù)雜油氣層測(cè)井評(píng)價(jià)技術(shù)研究與應(yīng)用”(2016D-4502) 資助
通訊作者: [email protected]
引用本文: ??
趙培強(qiáng), 李長文, 沙峰, 張莉莉, 毛志強(qiáng), 蔣新宇. 濱里海盆地東緣中區(qū)塊碳酸鹽巖儲(chǔ)層滲透率預(yù)測(cè)研究. 石油科學(xué)通報(bào), 2020, 01: 39-48
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ZHAO Peiqiang, LI Changwen, SHA Feng, ZHANG Lili, MAO Zhiqiang, JIANG Xinyu. Study of permeability prediction of carbonate reservoirs in the middle block of the eastern margin of the Caspian Basin. Petroleum Science Bulletin, 2020, 01: 39-48.
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