Representing Steam Processes With Vacuum Models

1980 ◽  
Vol 20 (03) ◽  
pp. 151-174 ◽  
Author(s):  
G.L. Stegemeier ◽  
D.D. Laumbach ◽  
C.W. Volek

Abstract Scaled models of steam processes have contributed significantly to the design and implementation of many field projects. These models provide a means of answering pertinent questions, including the effect of (1) injection rate, (2) production pressure, (3) completion interval, (4) pattern size and type, (5) aquifers, (6) heterogeneities, and (7) steam quality. Parameters are presented for scaling up physical-model results to full scale and for relating physical-model results to full scale and for relating one oil field to another. These relationships are generated by casting the governing equations in dimensionless form. A set of similarity parameters then are determined by inspectional analysis. In physical models, unfortunately, it is not possible to physical models, unfortunately, it is not possible to match all similarity parameters. Consequently, based on engineering judgment, a set containing a reduced number of parameters, called scaling parameters, is generated that generally can be matched between scaled model and field prototype. Techniques to implement this scaling are discussed, including a description of the laboratory models, typical materials, and procedures for conducting the experiments. Results of model studies for Mt. Poso and Midway Sunset prototypes are presented. presented. Introduction Physical modeling technology has been developed to Physical modeling technology has been developed to the extent that detailed descriptions of steam processes can be provided for field projects in which processes can be provided for field projects in which the number of wells is large, patterns are irregular, or asymmetry occurs from dip or water influx. In many of these cases, sufficient complexity can be introduced to provide both prediction of overall response and specific guidance for operating policies on a well-by-well basis. The fine detail attainable in physical models arises from the large number of physical models arises from the large number of beads or sand grains, typically in excess of 10 million, that are used in the packed bed. By comparison, present-day numerical steam simulators are limited present-day numerical steam simulators are limited practically to about 1,000 grid blocks. Besides practically to about 1,000 grid blocks. Besides offering this capability of representing additional geometrical and geological complexity, the physical models have the advantage that physical phenomena are not constrained by specified relationships but are free to interact subject only to scaling factors. This additional insight can be important in new processes for which relationships are not known or are difficult to formulate. Limitations of physical models arise because of the unavailability of materials and fluids having physical properties that will satisfy all scaling requirements. properties that will satisfy all scaling requirements. Effects of compromises in scaling often can be observed with simple geometric configurations in mathematical simulators. Conversely, improved mathematical simulation often is possible after determining important parameters experimentally. Consequently, the two serve complementary roles in determining the important mechanisms for a particular process. particular process.Our thermal models do not represent processes in which steam distillation, solution gas, chemical reactions, or compressibility are important. The choice of whether to model physically or to calculate numerically depends on the actual process being studied and the capabilities one has developed in each of these technologies. Scaling rules for steam-injection processes have evolved from those for isothermal and hot-water processes. Isothermal reservoir processes have been processes. Isothermal reservoir processes have been the subject of a number of scaling studies. Scaling for the hot-water drive has been reported in the work of Geertsma et al., Baker, and Dietz; scaling for combustion processes has been given by Binder et al. SPEJ P. 151

2021 ◽  
Author(s):  
◽  
Kimberly Moh

<p>This thesis questions, what characteristics constitute architecture and how can a design based body of research push the boundaries to question standard convention of architecture? My research proposes that there is a lost opportunity in conventional architecture design when the limitation of two-dimensional images cannot fully convey the reality of space. Conventionally architecture is viewed as static and unchanging however, this research disagrees with this proposition and explores the opportunity for there to be an immersive experience throughout the design stage. This research project asks how can we bridge the gap between the architecture created in the physical world versus the virtual?  Scaled physical modeling is traditionally the key visual representation of architectural design. However, people often can’t fully understand the intricacies of a scaled model. Through my research, I explore how VR technology could provide solutions to let people experience the materiality and craft of a real-life model. Restrictions in perception of scale, materiality and circulation hinder the thorough understanding of experience in space.   There is an opportunity to collaborate and merge the experience of physical modeling in the digital realm. By using handcrafted physical models, my work brings the imperfection of real life into the digital realm. Allowing the materiality from the real world to ground the project with the familiarity that only real space can induce.   Papercraft and modeling by card are the chosen material and method of constructing these real-life scaled models. Photogrammetry is used as a process to translate these physical “objects” into digital mesh. The physical and virtual world can work together harmoniously to create interesting results. The material properties of physical models are highlighted but have the advantage of being able to be easily manipulated (scale, multiply, move etc) in the digital realm. By using VR in order to explore these created environments allows the users to grasp the full nature of the materials and craftsmanship of physical models in a 1:1 scale. This hybrid way of designing celebrates the benefits and advantage of both the physical and virtual world and is a start to bridge the gap between them.</p>


2021 ◽  
Author(s):  
◽  
Kimberly Moh

<p>This thesis questions, what characteristics constitute architecture and how can a design based body of research push the boundaries to question standard convention of architecture? My research proposes that there is a lost opportunity in conventional architecture design when the limitation of two-dimensional images cannot fully convey the reality of space. Conventionally architecture is viewed as static and unchanging however, this research disagrees with this proposition and explores the opportunity for there to be an immersive experience throughout the design stage. This research project asks how can we bridge the gap between the architecture created in the physical world versus the virtual?  Scaled physical modeling is traditionally the key visual representation of architectural design. However, people often can’t fully understand the intricacies of a scaled model. Through my research, I explore how VR technology could provide solutions to let people experience the materiality and craft of a real-life model. Restrictions in perception of scale, materiality and circulation hinder the thorough understanding of experience in space.   There is an opportunity to collaborate and merge the experience of physical modeling in the digital realm. By using handcrafted physical models, my work brings the imperfection of real life into the digital realm. Allowing the materiality from the real world to ground the project with the familiarity that only real space can induce.   Papercraft and modeling by card are the chosen material and method of constructing these real-life scaled models. Photogrammetry is used as a process to translate these physical “objects” into digital mesh. The physical and virtual world can work together harmoniously to create interesting results. The material properties of physical models are highlighted but have the advantage of being able to be easily manipulated (scale, multiply, move etc) in the digital realm. By using VR in order to explore these created environments allows the users to grasp the full nature of the materials and craftsmanship of physical models in a 1:1 scale. This hybrid way of designing celebrates the benefits and advantage of both the physical and virtual world and is a start to bridge the gap between them.</p>


Author(s):  
M. R. Honarvar ◽  
Moharam D. Pirooz ◽  
Mohammad R. Bahaari

Platform structures are commonly utilized for various purposes including offshore drilling, processing, and support of offshore operations. A jacket is a supporting structure for deck facilities, stabilized by piles driven through it to the seabed. In a jacket design, operational and environmental loads are very important and must be intensively investigated to secure the stability of structures during their service life, as well as installation phase. The main purpose of this research is to evaluate the results of physical modeling for the launch operation of jackets from barge into the sea, as the most hazardous stage in the installation of a platform, and compare them to those of numerical modeling. Both physical and numerical modeling parameters are described and they are examined on a prototype platform, i.e., Balal oil field production and living quarter platform that is a 1700 tone, eight-legged jacket located in the center of Persian Gulf, some 100km distance from Iranian Lavan Island. It is found that both numerical and physical methods can describe the motion of the barge similarly well, but some differences are traced in the motion of jacket. The inequalities are, then, appeared to be due to the Froude-type parameters applied for modeling purpose. One notable fact investigated in this research is the necessity for choosing Reynolds–Froude type in the physical modeling of the launch, instead of Froude type. This is because, in addition to the importance of gravitational and inertial forces, the viscosity affects the drag hydrodynamic force, as well. It should be noted that viscosity and consequently drag coefficient in Froude type modeling cannot be quite applicable and this causes the difference observed between the results of physical and numerical modeling. Although there have been so many jacket launching designed and probably their physical models have been tested, but to the best of our knowledge from the literature, there was found no study on Reynolds–Froude physical modeling of jacket launch phenomenon. If one is interested in practicing a Reynolds-Froude physical modeling, it could be done either in a centrifuge test or by using a fluid with lower viscosity dependent on the scale of model, or even by finding a fluid (with new viscosity and new density) and a new gravity to have simultaneously the Froude and the Reynolds similarity laws satisfied.


Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 458
Author(s):  
Drew C. Baird ◽  
Benjamin Abban ◽  
S. Michael Scurlock ◽  
Steven B. Abt ◽  
Christopher I. Thornton

While there are a wide range of design recommendations for using rock vanes and bendway weirs as streambank protection measures, no comprehensive, standard approach is currently available for design engineers to evaluate their hydraulic performance before construction. This study investigates using 2D numerical modeling as an option for predicting the hydraulic performance of rock vane and bendway weir structure designs for streambank protection. We used the Sedimentation and River Hydraulics (SRH)-2D depth-averaged numerical model to simulate flows around rock vane and bendway weir installations that were previously examined as part of a physical model study and that had water surface elevation and velocity observations. Overall, SRH-2D predicted the same general flow patterns as the physical model, but over- and underpredicted the flow velocity in some areas. These over- and underpredictions could be primarily attributed to the assumption of negligible vertical velocities. Nonetheless, the point differences between the predicted and observed velocities generally ranged from 15 to 25%, with some exceptions. The results showed that 2D numerical models could provide adequate insight into the hydraulic performance of rock vanes and bendway weirs. Accordingly, design guidance and implications of the study results are presented for design engineers.


2011 ◽  
Vol 90-93 ◽  
pp. 2363-2371
Author(s):  
Bin Wei Xia ◽  
Ke Hu ◽  
Yi Yu Lu ◽  
Dan Li ◽  
Zu Yong Zhou

Physical models of layered rock mass with different dip angles are built by physical model test in accordance with the bias failure characteristics of surrounding rocks of layered rock mass in Gonghe Tunnel. Bias failure characteristics of surrounding rocks in thin-layered rock mass and influences of layered rock mass dip angle on stability of tunnel are studied. The research results show that failure characteristics of physical models generally coincide with those of surrounding rocks monitored from the tunnel site. The failure regions of surrounding rock perpendicular to the stratification planes are obviously larger than those parallel to. The stress distributions and failure characteristics in the surrounding rocks are similar to each physical model of different dip angles. The stress distributions and failure regions are all elliptic in shape, in which the major axis is in the direction perpendicular to the stratification planes while the minor axis is parallel to them. As a result, obvious bias failure of surrounding rocks has gradually formed. The physical model tests provide reliable basis for theoretical analysis on the failure mechanism of deep-buried layered rock mass.


Author(s):  
Charles Lefevre ◽  
Yiannis Constantinides ◽  
Jang Whan Kim ◽  
Mike Henneke ◽  
Robert Gordon ◽  
...  

Vortex-Induced Motion (VIM), which occurs as a consequence of exposure to strong current such as Loop Current eddies in the Gulf of Mexico, is one of the critical factors in the design of the mooring and riser systems for deepwater offshore structures such as Spars and multi-column Deep Draft Floaters (DDFs). The VIM response can have a significant impact on the fatigue life of mooring and riser components. In particular, Steel Catenary Risers (SCRs) suspended from the floater can be sensitive to VIM-induced fatigue at their mudline touchdown points. Industry currently relies on scaled model testing to determine VIM for design. However, scaled model tests are limited in their ability to represent VIM for the full scale structure since they are generally not able to represent the full scale Reynolds number and also cannot fully represent waves effects, nonlinear mooring system behavior or sheared and unsteady currents. The use of Computational Fluid Dynamics (CFD) to simulate VIM can more realistically represent the full scale Reynolds number, waves effects, mooring system, and ocean currents than scaled physical model tests. This paper describes a set of VIM CFD simulations for a Spar hard tank with appurtenances and their comparison against a high quality scaled model test. The test data showed considerable sensitivity to heading angle relative to the incident flow as well as to reduced velocity. The simulated VIM-induced sway motion was compared against the model test data for different reduced velocities (Vm) and Spar headings. Agreement between CFD and model test VIM-induced sway motion was within 9% over the full range of Vm and headings. Use of the Improved Delayed Detached Eddy Simulation (IDDES, Shur et al 2008) turbulence model gives the best agreement with the model test measurements. Guidelines are provided for meshing and time step/solver setting selection.


2021 ◽  
Author(s):  
Maha Mdini ◽  
Takemasa Miyoshi ◽  
Shigenori Otsuka

&lt;p&gt;In the era of modern science, scientists have developed numerical models to predict and understand the weather and ocean phenomena based on fluid dynamics. While these models have shown high accuracy at kilometer scales, they are operated with massive computer resources because of their computational complexity.&amp;#160; In recent years, new approaches to solve these models based on machine learning have been put forward. The results suggested that it be possible to reduce the computational complexity by Neural Networks (NNs) instead of classical numerical simulations. In this project, we aim to shed light upon di&amp;#64256;erent ways to accelerating physical models using NNs. We test two approaches: Data-Driven Statistical Model (DDSM) and Hybrid Physical-Statistical Model (HPSM) and compare their performance to the classical Process-Driven Physical Model (PDPM). DDSM emulates the physical model by a NN. The HPSM, also known as super-resolution, uses a low-resolution version of the physical model and maps its outputs to the original high-resolution domain via a NN. To evaluate these two methods, we measured their accuracy and their computation time. Our results of idealized experiments with a quasi-geostrophic model [SO3] show that HPSM reduces the computation time by a factor of 3 and it is capable to predict the output of the physical model at high accuracy up to 9.25 days. The DDSM, however, reduces the computation time by a factor of 4 and can predict the physical model output with an acceptable accuracy only within 2 days. These &amp;#64257;rst results are promising and imply the possibility of bringing complex physical models into real time systems with lower-cost computer resources in the future.&lt;/p&gt;


2021 ◽  
pp. 1-14
Author(s):  
Chaouki Khalfi ◽  
Riadh Ahmadi

Summary This study consists of an assessment of the ecological accident implicating the Continental Intercalaire-11 (CI-11) water well located in Jemna oasis, southern Tunisia. The CI-11 ecological accident manifested in 2014 with a local increase of the complex terminal (CT) shallow water table salinity and temperature. Then, this phenomenon started to spread over the region of Jemna, progressively implicating farther wells. The first investigation task consisted of logging the CI-11 well. The results revealed an impairment of the casing and cement of a huge part of the 9⅝ in. production casing. Historical production records show that the problems seem to have started in 1996 when a sudden production loss rate occurred. These deficiencies led to the CI mass-water flowing behind the casing from the CI to the CT aquifers. This ecological accident is technically called internal blowout, where water flows from the overpressurized CI groundwater to the shallower CT groundwater. Indeed, the upward CI hot-water flow dissolved salts from the encountered evaporite-rich formations of the Lower Senonian series, which complicated the ecological consequences of the accident. From the first signs of serious water degradation in 2014 through the end of 2018, several attempts have been made to regain control of annular upward water flow. However, the final CT groundwater parameters indicate that the problem is not properly fixed and communication between the two involved aquifers still persists. This accident is similar to the OKN-32 case that occurred in the Berkaoui oil field, southern Algeria, in 1986, and included the same CI and CT aquifers. Furthermore, many witnesses claim that other accidental communications are probably occurring in numerous deep-drilled wells in this region. Concludingly, Jemna CI-11, Berkaoui OKN-32, and probably many other similar accident cases could be developing regional ecological disasters by massive water resource losses. The actual situation is far from being under control and the water contamination risk remains very high. In both accidents, the cement bond failure and the choice of the casing point are the main causes of the internal blowout. Therefore, we recommend (1) a regional investigation and risk assessment plan that might offer better tools to predict and detect earlier wellbore isolation issues and (2) special attention to the cement bond settlement, evaluation, and preventative logging for existing wells to ensure effective sealing between the two vulnerable water table resources. Besides, in the CI-11 well accident, the recovery program was not efficient and there was no clear action plan. This increased the risk of action failure or time waste to regain control of the well. Consequently, we suggest preparing a clear and efficient action plan for such accidents to reduce the ecological consequences. This requires further technical detailed study of drilling operations and establishment of a suitable equipment/action plan to handle blowout and annular production accidents.


2014 ◽  
Vol 905 ◽  
pp. 348-352 ◽  
Author(s):  
Nuryazmeen Farhan Haron ◽  
Wardah Tahir

This paper reviews the physical models that had been used in order to conduct the experiment of estuarine salinity intrusion into rivers. Several studies used the physical models to get a better understanding of the estuary salinity mixing process and salt-wedge estuary characteristics along the flume. Besides, the laboratory investigations using the physical model also useful for verification purposes as discussed by previous researchers.


2020 ◽  
pp. 38-60
Author(s):  
Lin Li ◽  
Farshad Amini ◽  
Yi Pan ◽  
Saiyu Yuan ◽  
Bora Cetin

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