利用3D远场声波技术,在苏伊士海湾一次压裂一次,节省了堵漏费用

A. Hegazy, Emad Abdel Hakim, Khaled Saleh, Radhika Patro, Syed Aaquib Hussain, Mrinal Sinha, Mariam Abdulla, Mohamed Ghanim, Renata Gomes, Mahmoud Galal, Mansour Al-Mansour
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引用次数: 0

摘要

漏失是枯竭油藏钻井过程中遇到的重大挑战之一。在高渗透性或裂缝性油藏中钻井或在泥浆密度不足的情况下钻井时,井下泥浆漏失问题会更加严重。在世界范围内,泥浆损失造成的费用在钻井过程中是相当大的。在枯竭的油藏中,裂缝的存在可以作为泥浆流失到地层中的管道。因此,需要进行全面的岩石物理和地质力学评估,以识别和表征这些裂缝网络。尽管高分辨率图像测井是识别裂缝存在的行业标准,但其调查深度较浅,限制了其在井筒附近的信息,并且无法确定远场裂缝的范围。在这里,地震、声学和岩石物理数据可以提供不同层次裂缝的信息。了解所探测裂缝在当前应力下的稳定性,对于确定其支持储层流体流动的潜力至关重要。因此,设计了一套将高分辨率测井和更深层的调查测井相结合的协作工作流程,以详尽地描述裂缝性储层。由于漏失问题,在多个储层的衰竭地层中钻井是一项挑战,泥浆漏失高达140桶/小时。为了了解和评价这一天然裂缝性储层,对不同的采集数据进行了详细的分析。图像解释显示,在不同的地层中,存在不同密度的裂缝、洞穴和溶解特征。研究人员对不同区域的单极子、偶极子和Stoneley声波数据进行了研究,以了解其他属性:Stoneley反射和透射分析提供了近井裂缝开放程度的信息。由于广泛的裂缝网络在地层中产生了固有的各向异性,因此进行了各向异性分析和声波波形色散分析来识别和表征声学各向异性带。将图像解释和声学数据相结合的正演建模方法用于模拟和解释与层理和裂缝等地质特征相关的声学各向异性。它提供了一致的解决方案,区分开放骨折和封闭骨折。声波反射测量分析提供了深入20米的横向裂缝的信息。详细的地质力学分析暗示了当前作用于不同地层的孔隙压力和应力,并进一步用于裂缝稳定性分析。本文旨在描述如何利用地质、岩石物理、声学和地质力学分析的综合评估,帮助提供关于横向扩展的、临界应力裂缝的宝贵信息,这些裂缝是严重泥浆损失的主要原因,从而有助于优化未来井的钻井,避免枯竭油田的泥浆损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
One Fracture at a Time - Saving Expenses on Lost Circulation Through 3D Far Field Sonic in the Gulf of Suez
Lost circulation is one of the significant challenges encountered while drilling in a depleted reservoir. Downhole mud loss problems get accentuated while drilling through highly permeable or fractured reservoirs or drilling with inadequate mud weight. Worldwide, the expenses due to mud loss can be significant in the drilling of a well. The presence of fractures can act as conduits for mud losses into the formation in a depleted reservoir. Hence, a comprehensive petrophysical and geomechanical evaluation was needed to identify and characterize these fracture networks. Though high-resolution image logs are the industry standard for identifying the presence of fractures, their shallow depth of investigation limits their information near the wellbore, and the extent of fractures in the far field couldn't be determined. Here, seismic, acoustics, and petrophysical data can shed information on the fractures at different levels. Understanding the stability of the detected fractures with the current-day stresses is vital in ascertaining its potential to support the flow of reservoir fluids. Thus, a collaborative workflow linking the high-resolution logs and deeper depth of investigation logs was devised for exhaustive characterization of the fractured reservoir. Drilling through the depleted formations of multiple reservoirs was challenging because of the lost circulation problems, with mud losses going as high as 140 bbls/hr. Detailed analyses of different acquired data were conducted to understand and evaluate this naturally fractured reservoir. Image interpretation showed the presence of fractures, vugs, and dissolution features in different densities across various encountered formations. Acquired acoustic monopole, dipole, and Stoneley data were studied in diverse domains to understand other properties: Stoneley reflection and transmission analysis provided information on the openness of the fractures in the near wellbore. Since an extensive fracture network creates intrinsic anisotropy in a formation, anisotropy analysis and sonic waveform dispersion analysis were carried out to identify and characterize the acoustically anisotropic zones. A forward modeling approach incorporating image interpretation and acoustic data were used to model and interpret acoustic anisotropy associated with geological features such as beddings and fractures. It provided a consistent solution, differentiating open fractures from closed ones. Acoustic reflection survey analysis delivered insight into laterally extensive fractures penetrating as deep as 20 m. Detailed geomechanical analysis hinted at current-day pore pressure and stresses acting on different formations and was used further for fracture stability analysis. This paper aims to describe how an integrated evaluation using geological, petrophysical, acoustic, and geomechanical analysis help delivers invaluable information on the laterally extensive, critically stressed fractures acting as primary culprits for severe mud losses, thus helping in optimizing the drilling of future wells to avoid mud losses in depleted fields.
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