Zuorong Chen
Commonwealth Scientific and Industrial Research Organisation
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Publication
Featured researches published by Zuorong Chen.
Acta Mechanica Solida Sinica | 2009
Zuorong Chen; Andrew P. Bunger; Xi Zhang; Robert G. Jeffrey
Hydraulic fracturing is a powerful technology used to stimulate fluid production from reservoirs. The fully 3-D numerical simulation of the hydraulic fracturing process is of great importance to the efficient application of this technology, but is also a great challenge because of the strong nonlinear coupling between the viscous flow of fluid and fracture propagation. By taking advantage of a cohesive zone method to simulate the fracture process, a finite element model based on the existing pore pressure cohesive finite elements has been established to investigate the propagation of a penny-shaped hydraulic fracture in an infinite elastic medium. The effect of cohesive material parameters and fluid viscosity on the hydraulic fracture behaviour has been investigated. Excellent agreement between the finite element results and analytical solutions for the limiting case where the fracture process is dominated by rock fracture toughness demonstrates the ability of the cohesive zone finite element model in simulating the hydraulic fracture growth for this case.
Spe Journal | 2010
Raymond L. Johnson; Michael Paul Scott; Robert G. Jeffrey; Zuorong Chen; Les Bennett; Craig Byron Vandenborn; Sergei Tcherkashnev
In developing new coalbed methane (CBM) or coal seam gas (CSG) fields or reservoirs, the effect of many parameters are important in understanding the success or potential areas for improvement of hydraulic fracturing treatments. Estimating fracture geometry relative to the reservoir architecture is critical to understanding production variability. The Walloon Coal Measures, in the Surat Basin of Eastern Queensland, Australia, are a complex reservoir containing interbedded sandstone, siltstone, carbonaceous shale and coal seams where initial attempts at hydraulic fracturing in early pilot areas of the Surat Basin yielded poor results. Thus, when a hydraulic fracturing program was planned for this reservoir, it was decided to integrate a group of diagnostics that would be useful in understanding past results as well as deriving future improvements. Data is presented from two wells in the Walloon Sub Group (WSG) where tiltmeters and microseismic monitoring were used to evaluate fracture effectiveness relative to the reservoir architecture and to assist further design work. The treatments carried out in the studied wells were typical of CSG frac treatments used in other producing areas, incorporating stages of treated, gelled and crosslinked-gelled water with increasing concentrations of sand, up to six (6) lbm/gal. During the treatments, complex fractures were inferred based on analyses of data from both tiltmeter and microseismic monitoring methods. The collaborative data set for these wells also included a large amount of other analyses and diagnostic data. It was only possible to fully explain the treatment results through the combination of multiple diagnostics and an in-depth understanding of how the created fracture interacted with the complex reservoir and stress environment. In this paper, we outline the steps used to plan the monitoring program and describe how geological data was integrated to better understand the results observed during the treatments. We describe each of six (6) stages performed across the two wells, and how the diagnostics did or did not support the overall conclusions as to the effectiveness of each stage. Finally, this paper presents a logical framework to evaluate and integrate these technologies for use in future CSG well stimulation. Copyright 2010, Society of Petroleum Engineers.
ISRM International Conference for Effective and Sustainable Hydraulic Fracturing | 2013
Robert G. Jeffrey; Zuorong Chen; K. W. Mills; S. Pegg
Narrabri Coal Operations is longwall mining coal directly below a 15 to 20 m thick conglom‐ erate sequence expected to be capable of producing a windblast upon first caving at longwall startup and producing periodic weighting during regular mining. Site characterisation and field trials were undertaken to evaluate hydraulic fracturing as a method to precondition the conglomerate strata sufficiently to promote normal caving behaviour at longwall startup and reduce the severity of periodic weighting. This paper presents the results of the trials and illustrates the effectiveness of hydraulic fracturing as a preconditioning technique. Initial work was directed at determining if hydraulic fractures were able to be grown with a horizontal orientation, which would allow efficient preconditioning of the rock mass by placing a number of fractures at different depths through the conglomerate from vertical boreholes drilled from the surface. The measurements and trials were designed to determine the in situ principal stresses, the hydraulic fracture orientation and growth rate, and whether the fractures could be extended as essentially parallel fractures to a radius of at least 30 m. Overcore stress measurements were used to determine the orientation and magnitude of the in situ principal stresses, a surface tiltmeter array was used to determine the hydraulic fracture orientation, and stress change monitoring, pressure monitoring and temperature logging in offset boreholes were used to establish the fracture growth rate, lateral extent, and that the fractures maintained their initial spacing to a radial distance of greater than 30 metres. The measurements and trials demonstrated that horizontal fractures could be extended parallel to one another to a distance of 30 to 50 m by injection of 5,000 to 15,000 litres of water at a rate of 400 to 500 L/min. Results from the trial allowed a preconditioning plan to be developed and successfully implemented.
Advances in Adaptive Data Analysis | 2009
Zuorong Chen; Robert G. Jeffrey
Empirical Mode Decomposition (EMD) is a fully data-driven, adaptive technique for analyzing time series from nonlinear and nonstationary processes. The starting point of EMD is to treat the signal as a superposition of different intrinsic modes of oscillations (fast oscillations superimposed on slow oscillations). The essence of this method is to empirically identify the intrinsic oscillatory modes by their characteristic time scale imbedded in a signal, and then decompose the signal into a collection of a finite and often small number of intrinsic mode functions (IMF) through a so-called sifting process. Each IMF component then represents only one mode of both amplitude and frequency modulated oscillation of the signal at a certain time scale or frequency band, and the sum of all the IMF components as well as a residual produces a perfect reconstruction of the original signal. Partial reconstruction can be achieved by selectively removing fast or slowly varying IMFs, which provides a method to remove unwanted (noise) parts of the signal. In this paper, the EMD is applied to quantitative analysis of field tiltmeter data collected to monitor and map hydraulic fractures. The fracture-related tilt components are extracted by identifying the relevant IMFs that contribute to them, which allows removing the noise and background trend components from the raw data. The extracted tilt data are then inverted to obtain the volume and orientation of the hydraulic fractures. Physically reasonable prediction of the hydraulic fracture volume is used to demonstrate that the application of EMD to field tiltmeter data analyzing can be successfully carried out.
Porous Rock Fracture Mechanics#R##N#with Application to Hydraulic Fracturing, Drilling and Structural Engineering | 2017
Robert G. Jeffrey; Xi Zhang; Zuorong Chen
Abstract Volcanic dikes and sills, sometimes exposed in outcrops, are examples of natural hydraulic fractures that interact with faults and natural fractures. The industrial use of hydraulic fracturing for stimulation of naturally fractured reservoirs and to modify rock strength for mining has motivated study of hydraulic fracture growth in naturally fractured rock in the petroleum, geothermal, and mining industries. Predicting the path and overall geometry of a hydraulic fracture growing through a naturally fractured rock has proven to be difficult. A range of experimental, theoretical, and numerical studies are available in the literature that address the need for an accurate model to predict the outcome of hydraulic fracture interaction with natural fractures. However, consensus regarding hydraulic fracture growth in the presence of natural fractures has yet to be reached. This chapter provides a review of recent progress in this area and presents current thinking on this important topic.
Geofluids | 2017
Bisheng Wu; Tianshou Ma; Guanhong Feng; Zuorong Chen; Xi Zhang
Approximate solutions are found for a mathematical model developed to predict the heat extraction from a closed-loop geothermal system which consists of two vertical wells (one for injection and the other for production) and one horizontal well which connects the two vertical wells. Based on the feature of slow heat conduction in rock formation, the fluid flow in the well is divided into three stages, that is, in the injection, horizontal, and production wells. The output temperature of each stage is regarded as the input of the next stage. The results from the present model are compared with those obtained from numerical simulator TOUGH2 and show first-order agreement with a temperature difference less than 4°C for the case where the fluid circulated for 2.74 years. In the end, a parametric study shows that ( ) the injection rate plays dominant role in affecting the output performance, ( ) higher injection temperature produces larger output temperature but decreases the total heat extracted given a specific time, ( ) the output performance of geothermal reservoir is insensitive to fluid viscosity, and ( ) there exists a critical point that indicates if the fluid releases heat into or absorbs heat from the surrounding formation.
Spe Journal | 2017
Zuorong Chen; Robert G. Jeffrey; Xi Zhang; James Kear
Rock Mechanics and Rock Engineering | 2015
Robert G. Jeffrey; Zuorong Chen; Xi Zhang; Andrew P. Bunger; K. W. Mills
International Journal of Solids and Structures | 2018
Zuorong Chen; Robert G. Jeffrey; Venkataraman Pandurangan
International Journal for Numerical and Analytical Methods in Geomechanics | 2016
Venkataraman Pandurangan; Zuorong Chen; Robert G. Jeffrey
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View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
View shared research outputsCommonwealth Scientific and Industrial Research Organisation
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