碳酸鹽巖地層劃分及類型識(shí)別方法
發(fā)布時(shí)間：2018-11-08 11:45
【摘要】：四川盆地普光地區(qū)碳酸鹽巖儲(chǔ)層具有溶蝕孔洞發(fā)育、裂縫較發(fā)育和常規(guī)測(cè)井響應(yīng)特征不明顯等特點(diǎn),目前,利用常規(guī)測(cè)井資料進(jìn)行地層劃分及地層類型識(shí)別存在困難,并且現(xiàn)有方法僅僅只能確定地層界面,并不能有效識(shí)別地層類型。為此,文中提出了基于成像測(cè)井資料的地層劃分及類型識(shí)別方法。成像電阻率數(shù)據(jù)經(jīng)過處理生成平均電阻率曲線,并與自然伽馬曲線進(jìn)行融合,生成反映地層信息的融合曲線,進(jìn)行初始地層劃分;從電成像測(cè)井圖像中提取熵、能量等紋理特征,與圖片數(shù)據(jù)庫(kù)中的電成像測(cè)井圖像進(jìn)行歐式距離匹配,微調(diào)初始分層界面,并確定地層類型。實(shí)例應(yīng)用表明,該方法融合多種測(cè)井信息劃分地層,確定地層類型,效果良好。
[Abstract]:The carbonate reservoir in Puguang area of Sichuan Basin is characterized by the development of dissolution pores, the development of fractures and the unobvious response of conventional logging. At present, it is difficult to use conventional logging data for stratigraphic classification and formation type identification. And the existing methods can only determine the formation interface, can not effectively identify the formation type. Therefore, a method of stratigraphic classification and classification based on imaging logging data is proposed. After processing the imaging resistivity data, the average resistivity curve is generated and fused with the natural gamma curve to generate the fusion curve to reflect the formation information, and the initial stratigraphic division is carried out. The texture features such as entropy and energy are extracted from the electrical imaging logging image. The Euclidean distance matching is performed with the electrical imaging logging image in the image database. The initial stratification interface is fine-tuned and the formation type is determined. The practical application shows that the method is effective in classifying formation by combining various logging information and determining formation type.
【作者單位】： 長(zhǎng)江大學(xué)油氣資源與勘探技術(shù)教育部重點(diǎn)實(shí)驗(yàn)室;中國(guó)石油集團(tuán)川慶鉆探工程有限公司測(cè)井公司;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目“復(fù)雜地質(zhì)背景下電成像測(cè)井層理面檢測(cè)與產(chǎn)狀快速提取方法研究”(413741148)
【分類號(hào)】：P618.13;P631.81
[Abstract]:The carbonate reservoir in Puguang area of Sichuan Basin is characterized by the development of dissolution pores, the development of fractures and the unobvious response of conventional logging. At present, it is difficult to use conventional logging data for stratigraphic classification and formation type identification. And the existing methods can only determine the formation interface, can not effectively identify the formation type. Therefore, a method of stratigraphic classification and classification based on imaging logging data is proposed. After processing the imaging resistivity data, the average resistivity curve is generated and fused with the natural gamma curve to generate the fusion curve to reflect the formation information, and the initial stratigraphic division is carried out. The texture features such as entropy and energy are extracted from the electrical imaging logging image. The Euclidean distance matching is performed with the electrical imaging logging image in the image database. The initial stratification interface is fine-tuned and the formation type is determined. The practical application shows that the method is effective in classifying formation by combining various logging information and determining formation type.
【作者單位】： 長(zhǎng)江大學(xué)油氣資源與勘探技術(shù)教育部重點(diǎn)實(shí)驗(yàn)室;中國(guó)石油集團(tuán)川慶鉆探工程有限公司測(cè)井公司;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目“復(fù)雜地質(zhì)背景下電成像測(cè)井層理面檢測(cè)與產(chǎn)狀快速提取方法研究”(413741148)
【分類號(hào)】：P618.13;P631.81
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1 ;氣象文摘[J];新疆氣象;1987年09期
2 江R，
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