通过整合实时岩石物理分析,实现地质导向效率最大化

A. Kundu, T. Raza, Lichuan Deng, A. Soliman, Eslam Elabsy, Sarah Zemiti, Alyazia Alhammadi
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引用次数: 0

摘要

传统的地质导向方法在钻井时使用原始测井测量来确定储层内的井眼位置。地质导向专家通常会将实时测井与模拟测井(GR/Density/Neutron/电阻率)进行比较,然后调整地质模型,做出实时决策,以实现井目标。这种常规方法适用于大多数油藏条件。然而,在非均质油藏或地质环境复杂的井中,这种方法可能不够或不合适,可能导致井的布置不理想,降低储层段的产能价值。本文旨在展示一种基于岩石物理学的地质导向方法,以最大限度地提高储层剖面的价值。地质导向的目的是将井眼轨迹定位在具有最佳储气量、流量和油气饱和度的岩性上。log-to-log比较方法因其简单性和实时使用速度而广受欢迎,但对于某些场景来说还不够。例如,无论岩石物理性质(孔隙度/渗透率)是否相似,在天然气或极轻质油存在时,实时测井响应可能与模拟测井响应大不相同。此外,除了孔隙度之外,还需要实时的Sw估计,以最大限度地降低将生产井钻入含水层段的风险。事实上,岩石物性参数的比较更适用于非均质储层或地质条件复杂的井。这种方法需要地质学家、岩石物理学家和地质导向专家之间的良好协调。在钻井之前,应该定义邻井的岩石物理模型,并使用该模型计算孔隙度、渗透率和饱和度。在钻井过程中,实时解释岩石物理性质,并根据模拟和实时岩石物理性质之间的比较,就井目标做出决策。以阿布扎比某碳酸盐岩储层为例,对该方法进行了验证。由于气体效应的影响,实时密度/中子与模拟密度/中子的相关性不佳。这种差的相关性可归因于靠近油气接触面(GOC)和动态侵入,使实时地质导向变得复杂。然而,测井分析的实时总孔隙度与模拟总孔隙度的相关性非常好,为井眼定位提供了信心,使地质学家和地质导向专家能够做出正确的实时决策,将井置于最佳地层位置,以实现井的目标。在这种情况下,仅使用常规测井,但如果实时核磁共振和电阻率图像解释可用,它将提供有关渗透率、二次孔隙度和不可还原含水饱和度的额外信息,以帮助有效地进行地质导向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximizing Value from Geosteering Efficiency by Integrating Real-Time Petrophysical Analysis
Conventional geo-steering approach use raw logging measurements to define wellbore positioning within the reservoir while drilling. The geo-steering specialist usually compares real-time logs to modelled logs (GR/Density/Neutron/Resistivity) and the geological model is then adjusted to make real-time decisions to deliver the well objectives. This conventional method is applicable to most reservoir conditions. However, it may be insufficient or inappropriate in heterogeneous reservoirs or wells with complex geological settings, potentially resulting in wells being sub-optimally placed and reducing the value of reservoir sections in terms of productivity. This paper aims to showcase a Petrophysics-based Geo-steering approach to maximize the value of reservoir sections. Geo-steering aims to place the well trajectory in the lithology with optimum storage capacity, flow capacity and hydrocarbon saturation. The method of log-to-log comparison is popular for its simplicity and speed of use in real-time but is not enough for certain scenarios. For example, the real-time log response can be very different from modelled log response in the presence of gas or very light oil, irrespective of petrophysical properties (porosity/permeability) being similar. Moreover, real-time Sw estimation would be required in addition to porosity to minimize the risk of drilling a producer into water bearing intervals. In fact, the comparison between petrophysical parameters is more appropriate to heterogeneous reservoirs or wells with complicated geology. This approach requires good co-ordination between geologist, petrophysicist and geo-steering specialist. Prior to drilling, the petrophysical model from offset wells should be defined and used to derive porosity, permeability and saturation. While drilling, the petrophysical properties are then interpreted in real-time and based on the comparison between modelled and real-time petrophysical properties, decisions are to be made with respect to the well objectives. An example with strong gas effect in a carbonate reservoir from Abu Dhabi is presented to demonstrate this novel approach. Real-time density/neutron does not have good correlation with modelled density /neutron due to gas effect. Such poor correlation can be attributed to proximity to a Gas Oil Contact (GOC) and dynamic invasion, complicating the real-time geo-steering. However, real-time total porosity from log analysis correlates very well with modelled total porosity, providing confidence in wellbore positioning and allowing the geologist and the geo-steering specialist to make the correct real-time decision to place the well in the optimum stratigraphic position in order to meet the well objectives. Only conventional logs are utilized in this case, but if real-time NMR and resistivity image interpretation are available, it will provide additional information in term of permeability, secondary porosity and irreducible water saturation to aid efficient geo-steering.
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