首页> 外文会议>Abu Dhabi International Petroleum Exhibition Conference >Gas Logging Applications: A Methodology for Porosity and Water Saturation Calculations for Successful and Cost-Effective Use in Reservoir Model, and Real-Time Identification of Gas Injection Impact on Fluid Composition
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Gas Logging Applications: A Methodology for Porosity and Water Saturation Calculations for Successful and Cost-Effective Use in Reservoir Model, and Real-Time Identification of Gas Injection Impact on Fluid Composition

机译:燃气测井应用:用于成功且经济有效地使用储层模型的孔隙度和水饱和度计算的方法,以及对流体成分的实时识别气体注射效果

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Objective/Scope: In the recent past, budgetary constrained E&P market forced companies to find cost optimized solutions to their activities. Here, we present a case study from a field in Abu Dhabi Onshore to demonstrate how cost optimization in logging activities can potentially be achieved. In mature developed onshore fields where significant amount of static data is available, acquisition of additional in-fill cost optimized data has potential to add value to enhance confidence on reservoir model. Instead of acquiring conventional suite of logs, the well cost could be optimized by obtaining low cost yet effective mud log data. Additionally, fluid composition and its phase, in gas injection area for production optimization, can be obtained in real-time while drilling. Method, Procedures, and Process: Gas chromatography is a proven, accurate and sensitive technique for separating and quantifying dissolved hydrocarbon and non- hydrocarbon gases in mud samples. Hydrocarbon gas dissolved in mud can be used to calculate ratios which in turn provide an assessment of hydrocarbon phase (gas, condensate, oil) in reservoirs during drilling as the gas dissolved in mud is circulated on the surface. Gas dissolved in the mud and circulated to the surface is measured by an automated gas detection system. The primary gas measurement tool is a Gas Chromatograph with Flame Ionization Detector (GC-FID), which measures hydrocarbon gas concentrations as low as 5 ppm. A significant increase, above the background concentration, in detected gas is possibly associated with a zone of increased porosity and permeability and hydrocarbon content. The fractional components of gas are separated by gas chromatograph according to their molecular weight. Common components are classified in Alkane group, i.e. C1 (methane), C2 (ethane), C3 (propane), nC4 (normal butane), iC4 (iso-butane), nC5 (normal pentane), iC5 (iso-pentane). This paper describes application of mud gas ratios to characterize hydrocarbon-bearing and watersaturated zones. Provided sufficient calibration from open hole logs, mud gas data can be used in quantitative way by establishing mathematical expression based correlations with porosity and fluid saturation. The work flow presented in the study can be applied to other mature fields and reservoirs with mathematical expressions developed that are unique to the reservoirs. Results, Observations, Conclusions: Based on mud gas data, equations for porosity and saturation estimation were built in one pilot well. Results were found encouraging and can be actually used for reservoir modelling with local tuning. In addition, blind test to assess hydrocarbon phase was performed on two other wells with available gas data. Phase prediction from both wells was successful. Correlation between porosity and saturation derived from mud gas data is reasonable with that of LWD derived porosity and saturation. Hence, the mud gas data based porosity and saturation estimation can be used to produce upscaled average input needed in reservoir model. This paper demonstrates application of basic gas composition data in almost real time fluid identification and its variation while drilling during early formation evaluation phase. The results of fluid identification using mud gas ratios were compared with pulsed neutron interpretation. The two independent measurements confirmed the zone of interest affected by Gas injection.
机译:目标/范围:在最近的过去,预算限制E&P市场强制公司为其活动找到成本优化的解决方案。在这里,我们展示了Abu Dhabi Onshore的一个案例研究,以证明可以实现测井活动的成本优化如何。在成熟开发的血管领域,其中有大量的静态数据可用,获取额外的填充成本优化数据有可能增加价值以增强对储层模型的信心。通过获得低成本但有效的泥落数据,可以优化井中成本而不是获取传统的日志套件。另外,可以在钻井的同时实时获得流体组合物及其在气体注入区域中的用于生产优化。方法,程序和工艺:气相色谱是一种经过验证的,准确和敏感的技术,用于在泥浆样品中分离和定量溶解的烃和非烃类气体。溶解在泥浆中的烃类气体可用于计算比,这反过来在钻溶解在泥浆中循环的气体在表面上循环时提供钻井过程中的储存器中的烃相(气体,冷凝物,油)的评估。通过自动化气体检测系统测量溶解在泥浆中并循环到表面的气体。初级气体测量工具是具有火焰电离检测器(GC-FID)的气相色谱仪,其测量低至5ppm的烃类气体浓度。在检测到的气体中高于背景浓度的显着增加可能与增加的孔隙率和渗透性和烃含量的区域相关。气体的分数组分根据其分子量通过气相色谱仪分离。共聚物分类为烷烃基,即C1(甲烷),C2(乙烷),C3(丙烷),NC4(正常丁烷),IC4(异丁烷),NC5(正常戊烷),IC5(异戊烷)。本文描述了泥浆气体比在表征碳氢化合物和水中区域的应用。提供从开孔日志的充分校准,通过与孔隙率和流体饱和度建立基于数学表达的相关性,可以以定量方式使用泥气数据。该研究中提出的工作流程可以应用于其他成熟的领域和储层,其中具有储存器独有的数学表达式。结果,观察结论:基于泥质气体数据,孔隙度和饱和度估计方程井内置于一个先导井。发现了令人鼓舞的结果,实际上可以用于储层与局部调谐建模。此外,在具有可用气体数据的其他孔上进行评估烃相的盲试验。两个井的相位预测成功。源于泥质气体数据的孔隙率和饱和度之间的相关性具有LWD源极孔隙度和饱和度的合理。因此,可以使用基于泥气数据的孔隙率和饱和度估计来产生储层模型所需的上部平均输入。本文展示了在早期形成评估阶段钻井期间几乎实时液体鉴定及其变化中的基础气体成分数据的应用。将使用泥浆率识别的流体识别结果与脉冲中子解释进行了比较。两个独立的测量证实受气体注入影响的感兴趣区域。

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