Given the characteristics of unconventional oil and gas reservoirs,such as low porosity,low permeability,and well-developed natural fractures,this study systematically reviews the theoretical and application progress of the hydraulic fracturing technology. The full text revolves four core domains:First,it reviews the development history of hydraulic fracturing numerical simulation methods and explores the control mechanisms of cross-layer behaviors of fractures in vertical wells and balanced multi-cluster propagation of fractures in horizontal wells. Second,it analyzes the characteristics of fracturing operation curves and the formation mechanisms of screen-out,while highlighting real-time intelligent early warning technologies based on artificial intelligence. Third,it summarizes the evaluation methods for stimulated reservoir volume (SRV) and post-fracturing effectiveness based on instantaneous shut-in pressure decline analysis (G-function),micro-seismic data,and dynamic production data. Finally,it compares the application advantages of traditional empirical production decline models,modern numerical simulation,and machine learning in predicting production of oil and gas wells with complex fracture networks. This study intends to provide a solid theoretical foundation and reference for exploring fracturing mechanisms in complex reservoirs,optimizing operational designs,and improving the development efficiency of unconventional oil and gas. It also points out future development directions,including refined simulation of multi-field coupling,engineering adaptability of intelligent early warning,and precise dynamic characterization of SRV.
Research Methods and Main Control Factors of Proppant Migration and Placement Characteristics within Fractures
Proppant transport is a critical process that determines the conductivity of hydraulic fractures and thus,is of great significance for the efficient development of unconventional oil and gas reservoirs. This paper systematically reviews the progress in research on proppant transport,summarizes the advantages and limitations of three types of research methods,namely theoretical models,physical experiments,and numerical simulations,and reveals the multi-factor coupling effects of proppant characteristics,fracture morphology,operational parameters and reservoir environment are revealed. It is indicated that micronized proppants can enhance the filling rate of secondary fractures,but need to be combined with composite proppant injection processes to compensate for insufficient near-end support. In complex fractures,proppant distribution is considerably influenced by the flow splitting and rough fracture surface,requiring optimization through temporary plugging diversion and high-viscosity fracturing fluids. The integration of numerical simulations and machine learning techniques has significantly improved the prediction accuracy of complex fracture networks. Future research shall more focus on dynamic characterization of multi-scale fracture networks,long-term conductivity evaluation under high temperature and pressure,and the industrial application of intelligent fracturing technologies to facilitate controllable proppant placement and long-term conductivity and provide theoretical support for the efficient development of unconventional oil and gas resources.
Integral fracturing is one of the key technologies for the cost-effective development of unconventional reservoirs,which delivers one-time well placement,one-time fracture placement and synchronized initiation of production through batch drilling and batch fracturing. Optimization of well and fracture spacing is of great significance to improve the performance of integral reservoir stimulation. In this work,a typical block of the Mahu conglomerate reservoir is taken as an example to establish a three-dimensional geological model through the geology-engineering-integrated Petrel platform using well logs,mud logs and fracturing treatment parameters. Based on CMG,a numerical reservoir simulator,and logarithmic mesh refinement method,a hydraulic fracturing model of a four-well platform is constructed for production forecasting. Using the particle swarm optimization (PSO) and differential evolution (DE) algorithms,the well spacing and the fracture spacing of the four-well platform are optimized with the well group productivity as the objective function,which realizes the seven-dimensional synchronized parameter optimization. The optimized well group productivity is about 16.3% higher than that of the actual case. The optimized four-well platform presents a longer stable production duration and slower production decline. The optimized hydraulic fracturing treatment is found with a larger affected zone,further promoting the improvement of oil productivity. The findings of this work provide the fundamental model and methodology for optimizing the integral fracturing scheme of unconventional reservoirs.
Numerical Simulation of Three-Dimensional Vertical Fracture Propagation Model under the Influence of Bedding
The reservoirs at a block of Xinjiang Oilfield have the characteristics of high heterogeneity,and uneven natural bedding plane development and stress distribution. The vertical fracture propagation mode of such reservoirs with bedding planes under complex stresses has an impact on the layer-penetrating fracturing effect. Based on the finite element method and cohesive zone model,a three-dimensional fluid-solid fully coupled numerical model with bedding planes has been established. The vertical propagation patterns of hydraulic fractures under the influence of different stress conditions and bedding planes were studied. the layer-penetrating fracture propagation mode of reservoirs with beddings was also clarified,forming a prediction diagram of fracture penetrating patterns under complex stresses. The model’s simulation results are consistent with the published results of physical modeling experiments,validating the model’s reliability. The research results show that the smaller the vertical stresses,the easier the fractures activated along the bedding planes. When the vertical stresses are less than 18 MPa,the fractures propagate along the bedding planes. The greater the horizontal stress difference,the greater the barrier effect applied on the fractures by the bedding planes. When the horizontal stress difference is greater than 3 MPa,the fractures are more easily captured by the bedding planes and propagate along the bedding planes. The greater the tensile strength of the bedding planes,the more likely the fractures are to propagate through the bedding planes. The research results will provide theoretical guidance for layer-penetrating fracturing design of layered reservoirs.
Numerical Simulation of Fracture Propagation Pattern in the Presence of Gravel
Large-scale hydraulic fracturing is the essential technology for cost-effective and efficient development of tight sandy conglomerate reservoirs. Gravel parameters are considered the key factors that influence the hydraulic fracture geometry. The existence of gravels can make it even harder to complete fracturing stimulation. The complex fracture geometry,high tortuosity,and shorter supporting fracture length make it difficult to achieve the designed fracture conductivity. In this research,the continuous-discontinuous element method (CDEM) was applied to establish a 2D full fluid-solid coupling fracture propagation model to explore the influence of stress difference,gravel content,and flow rate on the fracture propagation geometry. The numerical simulation results show that:the multi-phase media hydraulic fracturing model based on the CDEM method can accurately simulate the overall fracture propagation geometry under the influence of gravel;the fractures will divert and generate a tortuous fracture when meeting high strength gravel;in reservoirs with high stress,hydraulic fractures tend to pass around the gravel and then divert to the direction of the maximum horizontal principal stress;in the presence of gravel,the fracture propagation will shape a high-pressure zone and generate more micro-fractures,thus increasing the stimulated reservoir volume. This study lays a theoretical basis for optimization of the fracturing design of conglomerate reservoirs.