瞬态地表和井筒温度数据解释与分析的分析模型

M. Onur, M. Galvao, Davut Erdem Bircan, M. Carvalho, Abelardo Barreto
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引用次数: 4

摘要

本研究的目的是:(1)提供分析的瞬态耦合井筒/油藏模型,以解释/分析在生产层(砂面)和生产层(井筒)以上的测量深度获得的瞬态温度下降/升高数据;(2)描述瞬态砂面和井筒温度测量的信息内容。该分析模型考虑了均匀无限作用油藏系统中轻度可压缩的单相流体的流动,并为沿井筒(包括地面)任何测量位置以恒定速率进行的压降和堆积测试提供了温度瞬态数据。假设井筒中的生产来自生产套管内部。该模型考虑了焦耳-汤姆逊(J-T)效应、绝热流体膨胀效应、传导和对流效应以及附近井筒损伤效应。考虑的井/储层系统是两层径向复合储层系统中的一口全穿透直井。内部区域可以代表一个受损(表皮)区域,而外部(非表皮)区域代表一个无限延伸的储层。采用Boltzmann变换求解内外区解耦的等温(压力)扩散系数和温度微分方程,得到了井壁瞬态温度的解析解,耦合的井筒微分方程采用拉普拉斯变换求解。开发的解决方案与严格的热数值模拟器的结果进行了比较,并确定了包括表皮层效应在内的地表和井筒温度数据的信息内容。分析模型可作为基于梯度估计方法(如极大似然估计)的非线性回归的正演模型,用于估计感兴趣的参数。
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Analytical Models for Interpretation and Analysis of Transient Sandface and Wellbore Temperature Data
The objectives of this study are to (i) provide analytical transient coupled wellbore/reservoir model to interpret/analyze transient temperature drawdown/buildup data acquired at both the producing horizon (sandface) and a gauge depth above the producing horizon (wellbore) and (ii) delineate the information content of both transient sandface and wellbore temperature measurements. The analytical models consider flow of a slightly compressible, single-phase fluid in a homogeneous infinite-acting reservoir system and provide temperature-transient data for drawdown and buildup tests produced at constant rate at any gauge location along the wellbore including the sandface. The production in the wellbore is assumed to be from inside the production casing. The models account for Joule-Thomson (J-T), adiabatic fluid-expansion, conduction and convection effects as well as nearby wellbore damage effects. The well/reservoir system considered is a fully penetrating vertical well in a two-zone radial composite reservoir system. The inner zone may represent a damaged (skin) zone, and the outer (non-skin) zone represents an infinitely extended reservoir. The analytical solutions for the sandface transient temperatures are obtained by solving the decoupled isothermal (pressure) diffusivity and temperature differential equations for the inner and outer zones with the Boltzmann transformation, and the coupled wellbore differential equation is solved by Laplace transformation. The developed solution compares well with the results of a rigorous thermal numerical simulator and determines the information content of the sandface and wellbore temperature data including skin zone effects. The analytical models can be used as forward models for estimating the parameters of interest by nonlinear regression built on any gradient-based estimation method such as the maximum likelihood estimation (MLE).
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