通过实时地质力学支持进行前瞻性决策利用在致密非常规油气藏中钻长水平段:中东地区

S. Saha, Prajit Chakrabarti, Johannes Vossen, S. Mitra, T. Podder
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Offset well petrophysical logs and core data are considered for the preparation of the predrill GeoMechanical model, along with the drilling experiences in the offset locations. Based on the above, a predrill GeoMechanical model is prepared, a risk matrix is being established, and a representative mud weight window is recommended (Wellbore Stability Analysis). In most cases, the offset well locations considered are vertical- or inclined-, or lateral wells of different trajectory azimuth than the target well location and the predrill GeoMechanical model can incorporate such variations easily; however, any Geology uncertainty, leading to a different rock property- and stress set-up (or even different pore pressure than expected), at the actual well location will be part of the uncertainty of the predrill GeoMechanical model and Wellbore Stability Analysis. This is where the real time monitoring is playing out its full potential: giving an updated model and wellbore stability analysis during drilling.\n While drilling the lateral section, the wellbore condition is being monitored using LWD (logging while drilling) tools, e.g. Gamma Ray, Density, Neutron, Acoustic Caliper, Azimuthal density image and ECD (equivalent circulating density). While gamma ray helps in determining the lithology, density logs help to understand the formation hardness, and they can be used to generate a calibrated pseudo acoustic log. Based on this pseudo acoustic log, the rock strength and other rock mechanical properties of the pre- GeoMechanical model can be updated as soon as they become available. This gives insight into the model differences and helps to understand model variations and adjust Wellbore Stability recommendations accordingly.\n While the neutron log helps to determine the zones of high porosity, and thus potential risk zones for differential sticking, the azimuthal density image clearly indicates the breakout zones caused by the shear failure of the wellbore. The presence of wellbore failure (breakout) is further confirmed by acoustic caliper data, and accordingly wellbore stability related recommendations are communicated to the operator, for an increase in the specific gravity of the mud, and thus, to balance the wellbore. 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引用次数: 0

摘要

本文讨论了地质力学和钻井液设计在枯竭、高应力和复杂碎屑储层中钻向最小水平应力方向的井中的综合作用。在规划阶段,需要解决与此类井相关的多种挑战。在这种情况下,需要向最小水平应力方向(Shmin)钻井,以便进行多级水力压裂。与此同时,最突出的挑战是,由于目前的走滑应力环境,这种井眼定向更容易发生井筒破坏,并且需要最大的泥浆密度。在这样的环境下,井规划面临的挑战包括:(a)确定地层特征和岩石性质,(b)在油藏内的水平段钻井过程中预测更高的地层崩溃压力,(c)确定泥浆重量上限,以防止由于枯竭段的低裂缝梯度或由于存在天然裂缝而导致的漏失。D)降低在已耗尽的多孔层上发生差压卡钻的较高风险,并在钻井液中确定适当的桥接;e)认识到由于侧向井的长度和在致密高密度地层上较低的钻速而导致的地层暴露时间延长。为了成功钻井,并降低上述风险,第一步是准备钻前地质力学模型,以及钻井过程中考虑的适当流体设计和钻井人员的行动计划。在准备钻前地质力学模型时,考虑了邻井岩石物理测井和岩心数据,以及邻井位置的钻井经验。在此基础上,建立钻前地质力学模型,建立风险矩阵,并推荐具有代表性的泥浆比重窗口(井筒稳定性分析)。在大多数情况下,考虑的邻井位置是与目标井位置不同轨迹方位的直井、斜井或水平井,钻前地质力学模型可以很容易地考虑这些变化;然而,任何地质上的不确定性,都会导致实际井位的岩石性质和应力设置(甚至孔隙压力与预期不同)不同,这将成为钻前地质力学模型和井筒稳定性分析的不确定性的一部分。这就是实时监测发挥其全部潜力的地方:在钻井过程中提供更新的模型和井筒稳定性分析。在钻水平段时,使用随钻测井(LWD)工具监测井筒状况,例如伽马射线、密度、中子、声波测径器、方位密度成像和ECD(等效循环密度)。伽马射线有助于确定岩性,而密度测井有助于了解地层硬度,并可用于生成校准的伪声波测井。基于该伪声波测井,可以及时更新前地质力学模型的岩石强度和其他岩石力学特性。这有助于深入了解模型差异,了解模型变化,并相应地调整井筒稳定性建议。虽然中子测井有助于确定高孔隙度区域,从而确定潜在的差异卡钻风险区域,但方位密度图像清楚地显示了由井筒剪切破坏引起的破裂区域。声波测径器数据进一步证实了井筒破坏(破裂)的存在,并将相应的井筒稳定性相关建议传达给作业者,以增加泥浆比重,从而平衡井筒。从泥浆流变学的角度来看,高性能OBM(油基泥浆)参数与地层特性保持一致,以最大限度地减少流体漏失,优化井筒强化特性,同时最大限度地降低固体浓度,以避免过高的ECD(等效循环密度),否则可能会打开原有的天然裂缝,导致井下漏失,从而可能导致差异卡钻。在本文的案例研究中,地质力学及其井筒稳定性应用的积极实施,以及钻井液服务的集成,使水平井段的钻井顺利成功,并为多级压裂(MSF)完井优化提供了必要的标准井眼。
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Proactive Decision-Making Through Real-Time Geomechanical Support Leveraging Drilling a Long Horizontal Section Through a Tight Unconventional Reservoir of an Oil and Gas Field: Middle East
This paper discusses the Integrated Role of Geomechanics and Drilling Fluids Design for drilling a well oriented towards the minimum horizontal stress direction in a depleted, yet highly stressed and complex clastic reservoir. There are multiple challenges related to such a well that need to be addressed during the planning phase. In this case, the well needs to be drilled towards the minimum horizontal stress direction (Shmin) to benefit multi-stage hydraulic fracturing. At the same time, the most prominent challenge is that this well orientation is more prone to wellbore failure and requires a maximum mud weight, due to the present strike slip stress environment. Well planning challenges in such an environment include (a) the determination of formation characteristics and rock properties, (b) the anticipation of higher formation collapse pressure during the course of drilling the lateral section within the reservoir, (c) the determination of the upper bound mud weight to prevent lost circulation due to a low fracture gradient against depleted sections, or due to the presence of pre-existing natural fractures, d) mitigating the higher risk of differential sticking against depleted porous layers, and determining appropriate bridging in the drilling fluids, (e) recognizing the prolonged exposure time of the formation due to the length of the lateral and the lower rate of penetration against the tight highly dense formations. For successful drilling, and to mitigate the above risks, the first step is to prepare a predrill GeoMechanical model along with adequate fluid design and drillers action plans to be considered during drilling. Offset well petrophysical logs and core data are considered for the preparation of the predrill GeoMechanical model, along with the drilling experiences in the offset locations. Based on the above, a predrill GeoMechanical model is prepared, a risk matrix is being established, and a representative mud weight window is recommended (Wellbore Stability Analysis). In most cases, the offset well locations considered are vertical- or inclined-, or lateral wells of different trajectory azimuth than the target well location and the predrill GeoMechanical model can incorporate such variations easily; however, any Geology uncertainty, leading to a different rock property- and stress set-up (or even different pore pressure than expected), at the actual well location will be part of the uncertainty of the predrill GeoMechanical model and Wellbore Stability Analysis. This is where the real time monitoring is playing out its full potential: giving an updated model and wellbore stability analysis during drilling. While drilling the lateral section, the wellbore condition is being monitored using LWD (logging while drilling) tools, e.g. Gamma Ray, Density, Neutron, Acoustic Caliper, Azimuthal density image and ECD (equivalent circulating density). While gamma ray helps in determining the lithology, density logs help to understand the formation hardness, and they can be used to generate a calibrated pseudo acoustic log. Based on this pseudo acoustic log, the rock strength and other rock mechanical properties of the pre- GeoMechanical model can be updated as soon as they become available. This gives insight into the model differences and helps to understand model variations and adjust Wellbore Stability recommendations accordingly. While the neutron log helps to determine the zones of high porosity, and thus potential risk zones for differential sticking, the azimuthal density image clearly indicates the breakout zones caused by the shear failure of the wellbore. The presence of wellbore failure (breakout) is further confirmed by acoustic caliper data, and accordingly wellbore stability related recommendations are communicated to the operator, for an increase in the specific gravity of the mud, and thus, to balance the wellbore. From a mud rheology perspective, high performance OBM (oil-based mud) parameters are maintained consistent with the formation properties, to minimize fluid loss, optimize wellbore strengthening characteristics and minimize at the same time solids concentrations in order to avoid excessive ECD (equivalent circulating density) which may open pre-existing natural fractures resulting in downhole losses and in consequence might lead to differential sticking. In the case study presented herein, the proactive implementation of GeoMechanics and its Wellbore Stability application as well as the integration of drilling fluids services, resulted in the smooth and successful drilling of the lateral section, and also in the delivery of an in gauge hole necessary for multi-stage fracturing (MSF) completion optimization.
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