本文關(guān)鍵詞： 測井解釋 Lambda函數(shù) 儲層分類 毛細管壓力曲線 含水飽和度　出處：《測井技術(shù)》2016年04期 　論文類型：期刊論文

【摘要】：A油田巖石孔隙結(jié)構(gòu)復雜多樣,儲層物性變化較大,相應壓汞毛細管壓力曲線亦表現(xiàn)為不同類型形態(tài)特征,在進行壓汞資料含水飽和度評價時,將其合理分類會取得更好效果。利用Lambda函數(shù)構(gòu)建毛細管壓力曲線評價儲層含水飽和度時,函數(shù)公式各項參數(shù)可以反映出毛細管壓力曲線變化趨勢,其值大小在一定程度上指示了樣品品質(zhì),可進行樣品的分類劃分。應用這種新的分類方法將A油田壓汞樣品劃分為2類,對每一類根據(jù)Lambda函數(shù)公式構(gòu)建出壓汞資料評價儲層含水飽和度的模型,利用模型計算密閉取心井儲層含水飽和度,計算結(jié)果與巖心分析含水飽和度對比,平均絕對誤差5.1%。
[Abstract]:The pore structure of rock in A oilfield is complex and varied, and the reservoir physical properties change greatly. The corresponding capillary pressure curve of mercury injection also shows different types of morphological characteristics, when evaluating the water saturation of mercury injection data. When using Lambda function to construct capillary pressure curve to evaluate reservoir water saturation, the parameters of function formula can reflect the change trend of capillary pressure curve. The value indicates the quality of samples to some extent and can be classified into two categories. For each model based on Lambda function formula to evaluate reservoir water saturation with mercury pressure data, the model is used to calculate water saturation in closed core well reservoir. The calculated results are compared with the water saturation of core analysis, and the average absolute error is 5.1.
【作者單位】： 大慶油田有限責任公司勘探開發(fā)研究院;
【分類號】：TE31
【正文快照】： 0引言油藏的含水飽和度是自由水界面上的高度和孔隙類型的函數(shù)[1],常用壓汞法獲得毛細管壓力曲線計算儲層含油(氣)飽和度[2-3],方法為沃爾法和油柱高度法。沃爾法獲得的飽和度值為油藏的平均原始含水飽和度[4],這種方法不能進行儲層連續(xù)計算。對構(gòu)造油藏,為能實現(xiàn)利用毛細管壓，

本文編號：1461823