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原油密度、黏度的地化热解评价方法
引用本文:侯连华,林承焰,王京红,刘宗林,孙兴海. 原油密度、黏度的地化热解评价方法[J]. 石油勘探与开发, 2002, 29(2): 74-76
作者姓名:侯连华  林承焰  王京红  刘宗林  孙兴海
作者单位:1. 石油大学(北京)
2. 石油大学(华东)
3. 中国石化胜利油田地质录井公司
摘    要:地化热解资料不同组分所影响因素不同,这些影响因素外在表现和机理不同,从影响机理入手,在对各组分进行样重、孔隙与体积校正的基础上,分别建立原油密度约束的轻、中及重质组分校正模型。对不同来源的地化热解资料进行校正后,在考虑残余烃含量的同时,提取与原油密度、黏度相关性较大的评价参数,建立原油密度、黏度相关性较大的评价参数,建立原油密度、黏度的多参数相关性定量化评价模型。并形成了一套较为完善的资料校正与原油密度、黏度评价方法,对不同储集层、层位、原油性质的37口井共48层的原油密度、黏度进行评价,评价结果与原油样品分析结果对比可知,其精度有了明显提高。

关 键 词:油藏 影响因素 原油密度 黏度 地化热解 评价方法
文章编号:1000-0747(2002)02-0074-03
修稿时间:2001-07-10

Evaluating oil density and viscosity with geochemical pyrolysis data
HOU Lianhu,LIN Chengyan,WANG Jinghong,LIU Zonglin and SUN Xinghai. Evaluating oil density and viscosity with geochemical pyrolysis data[J]. Petroleum Exploration and Development, 2002, 29(2): 74-76
Authors:HOU Lianhu  LIN Chengyan  WANG Jinghong  LIU Zonglin  SUN Xinghai
Affiliation:University of Petroleum, Beijing 102249, P. R. China;University of Petroleum, Shandong 257061, P. R. China;University of Petroleum, Shandong 257061, P. R. China;Shenli Oil Field, Sinopec, Shandong 257062, P. R. China;Shenli Oil Field, Sinopec, Shandong 257062, P. R. China
Abstract:Different influence factors have different extra appearance and mechanism in different components of geochemical pyrolysis degradation. In this paper, updating models of light,middle and heavy constituent constrained by oil density were built up on the bases of pretreatment to sample weight, porosity and volume. Correlatively quantitative polyparameter evaluation models of oil density and viscosity were built up after correcting geochemical pyrolysis degradation data, getting residual hydrocarbon content and better parameters correlativity to oil density and viscosity. A set of perfect evaluation methods of correcting data, getting oil density and viscosity were formed. Using these methods, a higher precision of oil density and viscosity in 48 layers of 37 wells in different reservoirs has been obtained.
Keywords:geochemical pyrolysis  crude oil density  crude oil viscosity  influence factor  evaluation  
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