巴西盐下碳酸盐岩油藏流体地球动力学研究

A. Bertolini, J. Monteiro, Jesus A. Cañas, S. Betancourt, O. Mullins, S. Colacelli, R. Polinski
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引用次数: 3

摘要

本研究的目的是通过使用电缆地层测试器(WFT)的井下流体分析(DFA)、裸眼测井数据和简化的油田结构/地质模型等井数据来表征盐下油田的流体分布。通过对油田油气系统背景的了解,开发了储层流体地球动力学(RFG)情景,将现有数据集中的观测结果联系起来,并提出优化油田开发计划(FDP)的机会。DFA测量的光密度(OD)、荧光、推断的CO2含量、碳氢化合物组成和油气比是本研究的基础,这些数据来自6口盐下井的离散深度取样。不同深度的DFA数据捕获流体梯度,用于储层流体的热力学分析。外径与储层流体沥青质含量呈线性相关。气液平衡用Peng-Robinson状态方程(EOS)建模,溶液-沥青质平衡用基于Yen-Mullins沥青质模型的Flory-Huggins-Zuo状态方程建模。OD和其他DFA测量将储层中油气的气态、液态和固态组分的分布与储层结构、油气充注历史和充注后的RFG过程联系起来。使用DFA进行沥青质梯度建模减少了储层连通性的不确定性。根据Yen-Mullins模型,油田流体中某些部分的CO2含量限制了沥青质在石油中的溶解度,并且小沥青质馏分以分子分散状态存在。大部分上带的OD值较低,沥青质的梯度较小,反映了原油中沥青质的浓度较小。采用改进的Peng-Robinson EOS模型对CO2浓度进行模拟,与上储层实测结果吻合较好。B井和C井的压力分布和沥青质梯度相匹配,表明其横向连通性。这部分储层的烃柱处于热力学平衡状态。在A、C、D、E和F井中,原油的OD值表明,油藏底部的沥青质含量比油藏顶部的沥青质含量增加了4倍。根据现场粘度测量结果,这使得C井和D井的粘度增加了两倍。沥青质在储层底部的聚集很可能是由由上而下的产热CO2向油柱扩散导致的溶解度变化引起的。在盐下油田的开发阶段,由于井数有限,需要在FDP之前获取数据以评估储层连通性,因此需要部署最新的WFT技术,包括用于高效滤液清理和流体性质测量的探针。这些使用溶解沥青质EOS的测量和方法能够开发出具有洞察力的RFG方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reservoir Fluid Geodynamics in Brazilian Presalt Carbonate Field
The objective of this study is to characterize fluid distributions in a presalt field by using well data including downhole fluid analysis (DFA) from wireline formation testers (WFT), openhole logs, and a simplified structural/geological model of the field. From an understanding of the petroleum system context of the field, reservoir fluid geodynamics (RFG) scenarios are developed to link the observations in the existing datasets and suggest opportunities to optimize the field development plan (FDP). DFA measurements of optical density (OD), fluorescence, inferred quantities of CO2 content, hydrocarbon composition, and gas/oil ratio of fluids sampled at discrete depth in six presalt wells are the basis of this study. DFA data at various depths captures fluid gradients for thermodynamic analysis of the reservoir fluids. OD linearly correlates with reservoir fluid asphaltene content. Gas-liquid equilibria are modeled with the Peng-Robinson equation of state (EOS) and solution-asphaltene equilibria with the Flory-Huggins-Zuo EOS based on the Yen-Mullins asphaltenes model. OD and other DFA measurements link the distribution of the gas, liquid, and solid fractions of hydrocarbon in the reservoir with reservoir architecture, hydrocarbon charging history, and postcharge RFG processes. Asphaltene gradient modeling with DFA reduces uncertainty in reservoir connectivity. The CO2 content in some sections of the field fluids limits the solubility of asphaltene in the oil, and the small asphaltene fraction exists in a molecular dispersion state according to the Yen-Mullins model. Low values of OD and small asphaltene gradients seen in most of the upper zones reflect the small asphaltenes concentration in the crude oil. The CO2 concentration was modeled with the modified Peng-Robinson EOS in good agreement with measurements in upper reservoir zones. Matching pressure regimes and asphaltene gradients in Wells B and C indicate lateral connectivity. The hydrocarbon column in this part of the reservoir is in thermodynamic equilibrium. In Wells A, C, D, E, and F the OD of the oil indicates an asphaltene content increase by a factor of four at the base of the reservoir as compared with the crest of the reservoir. This tripled the viscosity in Wells C and D, as indicated by in-situ viscosity measurements. The accumulation of asphaltenes at the bottom of the reservoir is most likely driven by a change in solubility resulting from thermogenic CO2 diffusion into the oil column from the top down. The challenge of the limited number of wells in the development phase of a presalt field for obtaining data to evaluate reservoir connectivity before the FDP is ably addressed by deploying the latest WFT technologies, including probes for efficient filtrate cleanup and fluid properties measurement. These measurements and methodology using a dissolved-asphaltene EOS enabled developing insightful RFG scenarios.
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