阿布扎比海上新油田中侏罗统评价:综合综合方法

A. Mishra, A. Anurag, Mohammed Al Balooshi, Khalid Javid, R. Sinha, Ghassan Al-Hashmy, K. Hosany, C. Mills, M. Basioni, Abdulla Al-Blooshi, F. A. Aryani, J. Mandl, Suvodip Dasgupta, I. Raina, Humair Ali, Jaja Uruzula Abdulrahim, Baraka Al-Afeefi, F. Hollaender
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引用次数: 0

摘要

ADNOC最近在阿布扎比海上进行的评估钻井主要集中在中侏罗统至二叠系深层气藏序列的评估上。这些地层的特点是低孔隙度和渗透率,通常含有干气或凝析气流体。这些评价活动是导致开发这些资源的更大方案的一部分。评价钻井处理的主要不确定性包括确定流体特征、储层性质以及最终的油井产能。本文使用这样一个最近钻探的(典型的)评估井作为工作流程的一个例子。早在1984年,该油田就开始了中侏罗统至二叠系储层的勘探钻井,并利用了当时可用的测井工具和技术。目前的评估钻井计划建立在这项工作的基础上,并利用最新的可用技术和解释技术来量化储层和流体性质,并最大限度地减少地下开发的不确定性。典型的数据采集程序包括:常规取心、先进的泥浆测井数据采集、三联体电缆数据、井眼图像数据、元素光谱、方位偶极子声波数据和地层压力测量/样品。地层评价项目需要仔细分析和整合这些数据,首先确定地层取样点,然后确定测试层。这种方法需要多个利益相关者(最终用户和执行解释的人)的参与,并需要密切沟通,以便在项目执行的关键阶段快速、明智地做出决策。在钻井过程中,这些不同类型的数据在不同的时间可用,早期获得的数据为后续数据采集的决策过程提供信息。首先得到的数据是“泥浆测井”,其中包括钻井参数(如钻速)和气相色谱法。该数据提供了潜在感兴趣区域的初步指示,以及流体类型。在获取电缆数据后,将“快速查看”地层评估与早期的地质分析相结合,以确定地层压力和流体采样点。综合起来,这些结果构成了综合油藏和饱和流体解释的基础,从而为试井选择射孔间隔。该工作流的有效实现需要一种与持续数据集成相结合的协作方法。这种跨多个地下学科的咨询和指导未来数据采集的逐步评估过程需要一定程度的评估灵活性,但最终会产生更好的决策。在协作评估和决策工作流程中整合多个数据源和学科的理念是阿布扎比深层天然气资源开发的重要推动因素。在实例井中,测试结果与测井解释工作一致,为油田开发和天然气生产提供了指导。
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Appraising the Middle Jurassic in a New Field in Offshore Abu Dhabi: A Comprehensive and Integrated Approach
Recent appraisal drilling undertaken by ADNOC in offshore Abu Dhabi has focussed on evaluation of the Middle Jurassic to Permian Deep Gas reservoir sequences. These formations are characterised by low porosity and permeability and typically contain either dry gas or gas condensate fluids. These appraisal activities form part of a larger program leading to development of these resources. Principal uncertainties addressed by appraisal drilling include determining fluid characteristics, reservoir properties and ultimately well deliverability. This paper uses one such recently drilled (typical) appraisal well as an example of the workflow employed. Exploration drilling of the Middle Jurassic to Permian reservoirs in this field dates back to 1984 and utilised available logging tools and techniques of the time. The current appraisal drilling program built on the results of this work and utilizes the latest available technology and interpretation techniques to both quantify reservoir and fluid properties and minimise subsurface development uncertainties. Typical data acquisition programs includes: conventional coring, advanced mud log data acquisition, triple-combo wireline data, borehole image data, elemental spectroscopy, azimuthal dipole sonic data and formation pressure measurements/samples. The formation evaluation program involved careful analysis and integration of this data to decide at first on formation sampling points and then subsequently testing zones. This approach necessitated the involvement of multiple stakeholders (end-users as well as people performing the interpretation) and required close communication to facilitate rapid, informed, decision making at key stages of the project execution. These different types of data become available at differing times during the course of drilling a well with the earlier acquired data informing the decision-making process on subsequent data acquisition. The first data to come in were the "mud logs" which includes drilling parameters (such as Rate of Penetration) and gas chromatography. This data provides an initial indication of potential zones of interest, along with fluid type. Following acquisition of wireline data, a "quicklook" formation evaluation was integrated with earlier geological analysis to determine the formation pressure and fluid sampling points. Combined together, these results formed the basis of an integrated reservoir and saturating fluid interpretation leading to the selection of perforation intervals for well testing. Effective implementation of this work flow requires a collaborative approach combined with ongoing data integration. This process of consultation across multiple subsurface disciplines and stepwise evaluation guiding future data acquisition requires a certain degree of evaluation flexibility but ultimately results in better decisions. The philosophy of integrating multiple data sources and disciplines in a collaborative evaluation and decision-making work flow is an essential enabler for the exploitation of the Deep Gas resource in Abu Dhabi. In the example well, test results are in accord with the log interpretation work and provide a path forward towards field development and gas production.
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