Improved Compaction Modeling in Reservoir Simulation and Coupled Rock Mechanics—Flow Simulation, With Examples From the Valhall Field

2009 ◽  
Vol 12 (02) ◽  
pp. 329-340 ◽  
Author(s):  
Øystein Pettersen ◽  
Tron Golder Kristiansen

Summary In traditional flow simulation, compaction is modeled as a function of fluid pressure, whereas in reality, it is dependent on effective stress (e.g., mean effective and shear stress). Therefore, although compaction computed by a flow simulator may be correct on a regional average basis, the true variation throughout the reservoir (both spatial and temporal) cannot be accounted for by a traditional approach. A stress simulator (i.e., geomechanics model) honoring material properties, rock mechanical boundary conditions, and material-to-material interaction is needed to achieve this compaction. Especially for sands, chalk, and other weak materials, which in general, have a compaction-dependent permeability, the spatial variation of compaction may have a significant impact on the flow pattern. The industry standard approach for computing true compaction is by either doing a fully coupled simulation or by using partial coupling with pore-volume iterations, both typically being expensive in terms of computer processor time. For this reason, the simplified compaction calculations are often used in practice thus disregarding actual physics in the reservoir simulation. In this paper, we describe a procedure whereby a modified (pseudo) material definition is constructed and used to improve compaction calculations by the flow simulator. The construction is based on results from a simplified, coupled flow-stress simulation, typically consisting of three to six explicit stress steps. The resulting compaction field is comparable to the true one and represents a significant improvement over the traditional approach. This compaction state is the optimal input to the stress simulator in a coupled scheme and, therefore, assures the rock mechanics calculations can be performed with maximum efficiency. By using our suggested procedure, the pore-volume iterations in a coupled scheme are eliminated or significantly reduced, and the simulated reservoir state is accurate at all times--not only when stress simulations are performed. Our main goal is to reduce the total computer time in iterative-coupled simulations without loss of accuracy, especially focusing on two mechanistic models from the Valhall field, which is a highly compacting chalk reservoir in the North Sea. We also demonstrate benefits of using the procedure in a simplified form to increase accuracy in reservoir simulation for reservoirs in which coupled simulation is traditionally not seen as needed because of either a perceived lack of complexity or the computing costs. In this paper, we demonstrate that the developed construction methodology is general in use. Further, the maximum permitted difference between flow-simulator calculated compaction and true compaction (i.e., computed from strain using a geomechanics simulator) is user-controlled, such that by proper definition of this parameter, the coupled simulation in most cases can be guaranteed to converge at the first pore-volume iteration.

Author(s):  
Cheng An ◽  
Yanhui Han ◽  
Hui-Hai Liu ◽  
Zhuang Sun

Abstract A reservoir-geomechanics coupled simulation tool is required to interpret and predict stimulation and production performance in unconventional reservoirs in a physically rigorous manner. This work presents a simulation platform by integrating a multiphase fluid flow and heat transport code (TOUGH2) with a geomechanics code (FLAC3D) using an iteratively coupled method. In the communication between the two codes during coupled simulation, the fluid pressure, saturation, temperature and capillary pressure are transferred from the reservoir simulation code to the geomechanics code, which feedbacks updated variables, such as stresses, strains, porosity and permeability, to the reservoir simulation code in return. To optimize the communication process, a generic mesh generator was developed and added to the platform so that two identical computational meshes will be used in both reservoir and geomechanics models in a coupled simulation. The equation of state was significantly enhanced for modeling gas reservoir more appropriately. The development was verified and validated using four well-defined problems that are related to fluid diffusion, thermal conduction, thermal fluid conduction and convection, and fluid-geomechanics interaction, respectively. The first three problems were verified with analytical solutions and the fourth one was validated with laboratory measurements.


2021 ◽  
Author(s):  
Mokhles Mezghani ◽  
Mustafa AlIbrahim ◽  
Majdi Baddourah

Abstract Reservoir simulation is a key tool for predicting the dynamic behavior of the reservoir and optimizing its development. Fine scale CPU demanding simulation grids are necessary to improve the accuracy of the simulation results. We propose a hybrid modeling approach to minimize the weight of the full physics model by dynamically building and updating an artificial intelligence (AI) based model. The AI model can be used to quickly mimic the full physics (FP) model. The methodology that we propose consists of starting with running the FP model, an associated AI model is systematically updated using the newly performed FP runs. Once the mismatch between the two models is below a predefined cutoff the FP model is switch off and only the AI model is used. The FP model is switched on at the end of the exercise either to confirm the AI model decision and stop the study or to reject this decision (high mismatch between FP and AI model) and upgrade the AI model. The proposed workflow was applied to a synthetic reservoir model, where the objective is to match the average reservoir pressure. For this study, to better account for reservoir heterogeneity, fine scale simulation grid (approximately 50 million cells) is necessary to improve the accuracy of the reservoir simulation results. Reservoir simulation using FP model and 1024 CPUs requires approximately 14 hours. During this history matching exercise, six parameters have been selected to be part of the optimization loop. Therefore, a Latin Hypercube Sampling (LHS) using seven FP runs is used to initiate the hybrid approach and build the first AI model. During history matching, only the AI model is used. At the convergence of the optimization loop, a final FP model run is performed either to confirm the convergence for the FP model or to re iterate the same approach starting from the LHS around the converged solution. The following AI model will be updated using all the FP simulations done in the study. This approach allows the achievement of the history matching with very acceptable quality match, however with much less computational resources and CPU time. CPU intensive, multimillion-cell simulation models are commonly utilized in reservoir development. Completing a reservoir study in acceptable timeframe is a real challenge for such a situation. The development of new concepts/techniques is a real need to successfully complete a reservoir study. The hybrid approach that we are proposing is showing very promising results to handle such a challenge.


Author(s):  
Satoshi Arimura ◽  
Jumpei Takada ◽  
Gohki Nishimura ◽  
Natsuki Nakama ◽  
Eita Kawasaki ◽  
...  

Abstract OBJECTIVES Sinus plication has emerged as a promising tool that can lead to better stability in bicuspid aortic valve (BAV) repair. However, the mechanisms underlying the efficacy of this technique are unclear. We evaluated the hydrodynamic effect of sinus plication using the experimental pulsatile flow simulator and our original BAV model in vitro. METHODS Based on the computed tomography data of a BAV patient who had undergone aortic valvuloplasty, a BAV model (group C, n = 6) was developed with bovine pericardium and vascular prosthesis (J-graft Shield Neo Valsalva 24 mm). We performed sinus plication (group SP, n = 6) in the BAV model and compared hydrodynamic data with the control model in the pulsatile flow simulator. Non-fused cusp angle, annulus diameter and effective height were measured by ultrasonography. RESULTS The average flow was significantly increased in group SP compared to group C (4.24 ± 0.14 l/min vs 4.14 ± 0.15 l/min, respectively, P = 0.034). The mean transvalvular pressure gradient and regurgitant fraction were significantly decreased in group SP compared to group C (11.6 ± 4.3 mmHg vs 16.6 ± 5.0 mmHg, respectively, P = 0.009 and 14.1 ± 2.0% vs 17.4 ± 2.1%, respectively, P = 0.001). Ultrasound measurement indicated that non-fused cusp angle was significantly increased in group SP compared to group C (163.8° ± 9.2° vs 153.0° ± 4.6°, respectively, P = 0.012). CONCLUSIONS Sinus plication in the BAV model significantly increased the commissural angle. It was effective in not only controlling regurgitation but also improving valve opening. These finding should be confirmed by evaluating cusp stress and/or long-term durability in the future studies.


2019 ◽  
Vol 4 (1) ◽  
pp. 38-49
Author(s):  
Rizky Arman ◽  
Yovial Mahyoedin ◽  
Kaidir Kaidir ◽  
Nando Desilpa

ABSTRAKValve adalah alat mekanis yang mengatur aliran atau tekanan cairan. Fungsinya adalah  menutup atau membuka aliran, mengontrol laju aliran, mengalihkan aliran, mencegah aliran balik, mengontrol tekanan, atau mengurangi tekanan. Masalah yang umumnya ditemui adalah  penutupan valve tidak sempurna dikarenakan adanya kotoran-kotoran yang menghalangi penutupnya untuk menutup secara sempurna. Penanganannya yang paling sederhana yaitu membersihkan dudukan dari kotoran-kotoran tadi secara intensif dan dilakukan pelumasan. Penelitian ini bertujuan untuk menjelaskan gambaran tentang simulasi aliran pada ball valve dan butterfly valve. Dan menjelaskan perbandingan tekanan, temperatur dan kecepatan distribusi air pada dua jenis valve. Tekanan fluida pada kondisi tertutup berbeda dengan kondisi terbuka. Hal ini akan berdampak terhadap kekuatan ball valve dan butterfly valve. Tekanan yang besar atau melebihi spesifikasi akan mempengaruhi mekanisme kerja dan kekuatan material. Pengaruh tekanan ini menjadi sangat penting dalam ball valve dan butterfly valve karena tekanan fluida dengan temperatur, pada  kondisi tertentu bisa di luar batas spesifikasi khususnya pada ball valve Sanitary SS316 Mounting Pad 3 inci dan butterfly valve Sanitary SS 304 3 inci. Metode yang digunakan adalah Computational Fluid Dynamics dengan bantuan Software Flow Simulasi Solidwork 2014.Kata Kunci: Ball and Butterfly Valve, Solidwork, Flow Simulasi, CFD, Tekanan, Temperatur, Kecepatan aliran. ABSTRACTValves are mechanical devices that regulate fluid flow or pressure. Its function can close or open the flow, control the flow rate, divert flow, prevent backflow, control pressure, or reduce pressure. The problem commonly encountered is that the valve closure is not perfect due to the impurities that prevent the cover from closing completely. The simplest handling is to clean the holder from the dirts earlier and do lubrication. This study aims to explain the description of the flow simulation on ball valve and butterfly valve. This study also explain the comparison of pressure, temperature and velocity of water distribution in two types of valve heads. Fluid pressure under closed conditions is different from opening conditions. This will affect the strength of the ball valve and butterfly valve as a valve. Pressure that is large or exceeds specifications will affect the working mechanism and material strength. The effect of this pressure becomes very important in the ball valve and butterfly valve because of  fluid pressure with temperature under certain conditions it can be out of the specification limits, especially in Sanitary SS316 Mounting Pad 3-inch ball valve and SS 304 3 inch Sanitary butterfly valve. This method was used in research is Computational Fluid Dynamics by utilizing of Flow Simulation Solidwork 2014 Software.Keywords: Ball Valve, Butterfly Valve, Solidwork 2014, Flow Simulation, CFD, Pressure, Temperature, Velocity


1990 ◽  
Vol 112 (3) ◽  
pp. 284-290 ◽  
Author(s):  
D. D. Budny ◽  
F. J. Hatfield ◽  
D. C. Wiggert

The traditional approach to designing a piping system subject to internal dynamic pressure is to restrain the piping as much as possible, and the approximation made in the analysis is to assume no contribution of structural energy dissipation. To determine the validity of this concept and approximation, an experimental study of a piping system was performed to measure the influence of structural damping. A pipe system was designed with a loop that could be turned so that its natural frequency would match that of the contained liquid. It was discovered that a properly sized damper on the piping loop greatly accelerates the decay of the fluid pressure transient. The damper absorbs some energy from the piping, reducing the resulting rebound fluid pressure. When the loop is subjected to forced steady-state vibration, there is a fluid pressure response. The amplitude of that pressure can be reduced by installing an external damper: the stiffer the damper the more effective it is in reducing dynamic pressure.


Author(s):  
Jongil Park ◽  
Minsuk Choi ◽  
Jehyun Baek

A three-dimensional unsteady flow simulation is conducted to investigate clocking effects of a row of stators on the performance and internal flow in a 1.5 stage axial turbine. Although the original turbine has 22 blades of the first stator, 28 blades of the rotor and 28 blades of the second stator, the first stator is reduced by a factor of 22/28 to fit the blade ratio 1:1:1. The unsteady flow solver is implemented using the second order time marching and sliding mesh scheme between blade rows. And then, this flow solver is parallelized using MPI (Message Passing Interface) libraries to overcome the limitation of memories and to save the calculation time. Six relative positions of two rows of stators are investigated by positioning the second stator being clocked in a step of 1/6 pitch. The relative efficiency benefit of about 1% is obtained depending on clocking positions. At mid-span, the first stator wake is mixed up with the rotor wake before arriving at the leading edge of the second stator. The time-averaged local efficiency along the span at the maximum efficiency shows more uniform distribution than that at the minimum efficiency. Moreover, the variation of local efficiency at the mid-span does not coincide with that of overall efficiency. Therefore, it is found in this case that the only wake trajectory of the first stator is not a proper means of predicting the best and worst efficiency positions. This is why the relative efficiency benefit depending on the clocking position is obtained near the hub and casing in this study. So, it is necessary to find a general cause of the clocking effect which is applicable to every test case. The difference between maximum and minimum instantaneous efficiencies during one period is found to be smaller at the maximum efficiency than at the minimum efficiency.


2019 ◽  
Vol 12 (2) ◽  
pp. 59-65
Author(s):  
В. Лавлинский ◽  
V. Lavlinskiy ◽  
Юрий Громов ◽  
Yuriy Gromov ◽  
Ирина Дидрих ◽  
...  

Based on the phenomenological approach, a simulator of the error flow in the sequence of data transmitted over the radio channel is developed. The proposed version of the simulator takes into account the features of coherent and incoherent reception of the most common binary digital signals with relative phase and frequency manipulation. Within the framework of data transmission modeling, the adequacy of the results and the possibility of using the considered method of error flow simulation are fully confirmed. The developed error flow simulator allows to evaluate the potential qualitative characteristics of data transmission and the effectiveness of data exchange protocols using radio channels. At the same time, the simulator implements the connection of the structure and intensity of the generated error flow with the technical characteristics of the data transmission means used and the conditions of communication.


Author(s):  
P.W.H. Olden ◽  
M. Jin ◽  
B.G.D. Smart ◽  
A.D.H. Tehrani

Geophysics ◽  
2003 ◽  
Vol 68 (3) ◽  
pp. 803-814 ◽  
Author(s):  
Madhumita Sengupta ◽  
Gary Mavko ◽  
Tapan Mukerji

The goal of this paper is to interpret and analyze time‐lapse seismic data quantitatively to better understand subsurface fluid saturations and saturation scales. We present a case study of a time‐lapse seismic survey. Water and gas were injected into an oil‐producing reservoir, and repeat seismic surveys were collected to monitor the subsurface fluids over a period of 14 years. In this study, we show that the subresolution spatial distribution of fluids, not captured by traditional flow simulators can impact the seismic response. Although there is a good qualitative match between the fluid changes predicted by the flow simulator and the fluid changes interpreted from the seismic data, the simulator predicts smooth saturation profiles that do not quantitatively match the time‐lapse seismic changes. We find that downscaling smooth saturation outputs from the flow simulator to a more realistic patchy distribution is required to provide a good quantitative match with the near‐ and far‐offset time‐lapse data, even though the fine details in the saturation distribution are below seismic resolution. We downscaled the smooth saturations from the simulator by incorporating high spatial frequencies from well logs and constraining the saturations to the total mass balance predicted by the flow simulator. The computed seismic response of the downscaled saturation distributions matched the real time‐lapse seismic data much better than the saturation distributions taken directly from the simulator. This study demonstrates the feasibility of using seismic and well‐log data to constrain subblock saturation scales, unobtainable from flow simulation alone. This important result has the potential to significantly impact and enhance the applicability of seismic data in reservoir monitoring.


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