T14: Petroleum engineering and carbon sequestrationPengwei ZHANG, Huantong LIU, Lili LI, Baoguo LIUBeijing Jiaotong University, Beijing, ChinaFaults reactivation risk evaluation during water injection into shale gas reservoirs: A case studyHydraulic fracturing is an effective technique for shale gas development, which breaks tight shale by injecting a large amount of fracturing fluid under high pressure. The potential impacts of hydraulic fracturing on the surrounding environments (such as hydraulic fracturing induced earthquakes) have aroused extensive attentions. Hence it is necessary to study on the evolution rules of reservoir in-situ stress and fault stability during the water injection process of hydraulic fracturing. In this work, a three-dimensional geomechanical model of a shale gas reservoir which located in Southwestern China is established firstly; Based on the in-situ stress field, numerical simulations on the influence of local in-situ stress and fault stability during quasi-dynamic and dynamic water injection are made. With the calculated shear strain distribution, a workflow for evaluating the seismic moment response in the fault region during water injection is proposed. | shale gas, geomechanics, pore pressure, in-situ stress field, fault stability
T14: Petroleum engineering and carbon sequestrationAly ABDELAZIZ, Phyllis S. WU, Mei LI, Earl MAGSIPOC, Karl PETERSON, Giovanni GRASSELLIDepartment of Civil and Mineral Engineering, University of Toronto, CanadaUnderstanding shale fracture network complexity in the laboratoryHydraulic fracturing is a complex multi-physics process that involves coupling of fluid flow and rock deformation/fracturing. Particularly, the propagation of fluid-driven fractures is a competing process greatly influenced by rock fabric and in-situ stress. However, it remains unclear how rock fabric affects the failure mechanisms and contributes to the resulting fracture network. To understand this, an 80 mm Montney shale outcrop cube was hydraulically fractured in the laboratory under in-situ true triaxial stress conditions. The fractured sample was then digitally 3D reconstructed by merging high-resolution, high-contrast serial section images. In-depth observation of the digitally-reconstructed induced fracture-network revealed the formation of bedding-controlled horizontal fractures, opening against σ2 instead of the theoretically expected σ3. This suggests the key role played by the bedding planes in determining the trajectory of the fluid-driven fracture network. En-echelon fractures observed near the injection borehole are convincing evidence of possible shear failures associated with hydraulic fracturing. | hydraulic fracturing, 3D imaging, serial section reconstruction, true triaxial testing, breakdown pressure, shut-in pressure
T14: Petroleum engineering and carbon sequestrationPankaj RAWAT, Narendra Kumar SAMADHIYAIndian Institute of Technology Roorkee, IndiaLaboratory hydraulic fracturing experiments on thermally treated tight sandstone samples under step up incremental loadingThis paper aims to investigate the effect of thermal treatment on tight sandstone samples during the hydraulic fracturing process. The sandstone samples were preheated at different temperatures and cooled at the same rate (1 ᵒC / min). Step-up incremental loading opted for all hydraulic fracturing experiments. SEM investigations were done on thin sections of fractured samples to find the fractal dimension and tortuosity. After 300 ᵒC, the samples hydro fractured at higher temperatures and showed lower fractal dimensions than those at lower temperatures. The effect of the heat treatment was also observed in the breakdown pressures as they reduced with the increased temperature. Due to the thermal effects, it was also found that the crack tortuosity increased with an increase in temperature. After 300 ᵒC, the degree of micro cracks and the complexity of the fracture growth network increases. | Step up incremental loading, fractal dimension, tortuosity, SEM (Scanning electron microscope) images
T14: Petroleum engineering and carbon sequestrationYiqi ZOU, Xuyue CHEN, Deli GAO, Siyuan YIN, Qiqi YANGChina University of Petroleum, Beijing, ChinaThe challenge of ocean shallow extended reach wells: how to achieve a farther extension limitDue to the shallow vertical depth, offshore shallow extended reach wells usually have a high horizontal displacement to vertical depth ratio. The high friction of drill pipe during drilling limits the extension capacity of the extended reach well. Based on the three-dimensional string mechanical model, this paper analyzes the extension limit under the drilling condition and maximum running depth of 9-5/8 ″ casing under casing running conditions, and concludes that the friction coefficient, wellbore trajectory and drilling equipment are the main parameters limiting the extension limit. The operation parameters and suggestions under different working conditions are given.This research is expected to increase the extension limit of shallow extended reach wells and promote the economic and efficient development of shallow oil and gas. | extended reach well, extension limit, shallow water, downhole string
T14: Petroleum engineering and carbon sequestrationHuiwen PANG (1), Hanqing WANG (2), Yan JIN (1)1: China University of Petroleum-Beijing; 2: Petroleum Exploration and Production Research Institute, SINOPEC, People's Republic of ChinaPrediction of Safe Mud Window Based on Seismic Data in Carbonate FormationTo address the problem of predicting the safe mud window in China's TH oil field, we present a feasible seismic-based workflow that employs machine learning. Initially, multiple drilling fluid and mud loss engineering records were used to establish secure mud density windows for eight distinct wells with differing depths. Then, the well logs served as the link between drilling fluid density and through-well seismic data, and the relationship between drilling fluid density and seismic data was constructed using machine learning techniques involving ensemble learning. Finally, a 3D distribution model of safe drilling fluid density is generated, and its dependability is evaluated. The results of one validation well indicate that the model's complete blind test accuracy exceeds 75%. The model has a transverse resolution of 25 meters and a longitudinal resolution of 15 meters. It may offer theoretical guidance for devising drilling fluid density and wellbore construction. | Safe mud window, Seismic data, Machine learning, Carbonate formation