3D Simulation Model Research Articles

Railway track buckling evaluation using rigid-flexible multibody dynamic model and machine learning

Railway track buckling poses a significant challenge in railway engineering, necessitating a rapid and reliable method for evaluating buckling risks to aid in its prediction and prevention. This study introduces an innovative surrogate model using a multilayer perceptron algorithm to streamline this evaluation process. The model offers an efficient alternative to time-consuming and computationally demanding three-dimensional track simulations while effectively incorporating the complexities of track dynamics data. The primary objective of this study is to reduce the evaluation process time while maintaining high accuracy of predictions. The methodology involves the generation of comprehensive track dynamics data derived from 3D track multibody dynamics model simulations and training the multilayer perceptron algorithm on this data. The dynamics model is a multibody system that includes a mixture of rigid bodies, flexible bodies, and nonlinear friction. Results indicate that the proposed surrogate model reduces the evaluation time by ∼98% while maintaining similar prediction accuracy, achieving 99.44% accuracy in replicating buckling scenarios identified by the 3D model. This demonstrates a significant improvement in computational efficiency without compromising prediction reliability. The study concludes that the developed model is a viable alternative tool for faster evaluation of buckling risks, laying the groundwork for advancing toward real-time evaluation of buckling risks.

Research status of simulation modeling technology for the 3D braiding process

Three-dimensional (3D) braiding has excellent mechanical properties due to its unique spatial organization, in which simulation modeling of the braiding process is a key technology to study the complex spatial structure of 3D braided fabrics. The paper first summarizes the research methods of 3D braiding simulation modeling technology in recent years; second, it focuses on the analysis of numerical method modeling based on geometric dynamics, geometric modeling based on the braiding process, and modeling based on the finite-element method; then, based on the existing technology and application status quo, it sums up the advantages and shortcomings of the current 3D braiding process simulation modeling technology; and, finally, it describes the challenges and opportunities of the 3D braiding simulation modeling technology. The future development direction of the three modeling methods and the new idea of mutual coupling of the three methods are proposed and future development prospects are described. The paper provides technical support for the simulation modeling of the braiding process in 3D braiding technology.

Synthesis and evaluation of amino acid ionic liquid for enhanced oil recovery: experimental and modeling simulation studies

Recovering the remaining oil after primary and secondary extraction methods poses a significant challenge. Enhanced oil recovery (EOR) techniques, which involve injecting fluids into reservoirs, aim to increase recovery rates. Ionic liquids, known for their adaptability, are emerging as promising agents in EOR, improving oil displacement by reshaping fluid properties and interacting with reservoir rocks. This study investigates the eco-friendly amino acid ionic liquid, AAIL [G0.5 C12][Pro], for EOR applications, focusing on its characterization and performance. Using pre-prepared quaternary ammonium salt PAMAM G0.5 C12 and proline, AAIL [G0.5 C12][Pro] was synthesized and confirmed via FTIR and 1H-NMR analyses. Rheological analysis identified 7 g of AAIL [G0.5 C12][Pro] as the optimal concentration for peak performance. Laboratory sand-pack displacement experiments demonstrated an 11% increase in oil recovery at this concentration. Further, a 3D reservoir model simulation validated the enhanced oil recovery potential of AAIL [G0.5 C12][Pro]. The study introduces the novel amino acid ionic liquid [G0.5 C12][Pro], which demonstrates superior effectiveness in enhancing oil recovery through significant wettability modification and interfacial tension reduction, underscoring its potential as an effective and environmentally friendly EOR agent compared to other ionic liquids and conventional methods.

The Road to a Realistic 3D Model for Estimating R2 and R2* Relaxation Versus Gd-DTPA Concentration in Whole Blood and Brain Tumor Vasculature.

Dynamic susceptibility contrast (DSC) MRI is commonly part of brain tumor imaging. For quantitative analysis, measurement of the arterial input function and tissue concentration time curve is required. Usually, a linear relationship between the MR signal changes and contrast agent concentration ([Gd]) is assumed, even though this is a known simplification. The aim of this study was to develop a realistic 3D simulation model as an efficient method to assess the relationship between ΔR2 (*) and [Gd] both in whole blood and brain tissue. We modified an open-source 3D simulation model to study different red blood cell configurations for assessing whole-blood ΔR2 (*) versus [Gd]. The results were validated against previously obtained 2D data and invitro data. Furthermore, hematocrit levels (30%-50%) and field strengths (1.5-3.0-7.0 T) were varied. Subsequently, realistic tumor vascular networks were derived from intraoperative high framerate Doppler ultrasound data to study the influence of vascular structure and orientation with respect to the main magnetic field (1.5-3.0-7.0 T) for the calculation of ΔR2 (*) versus [Gd] in brain tissue. For whole blood, good agreement of the 3D model was found with invitro and 2D simulation data when red blood cells were aligned with the blood flow. For brain tissue, minor differences were found between the vascular networks. The effect of vessel direction with respect to B0 was apparent in case of clear directionality of the main vessels. The dependency on field strength agreed with previous reports. In conclusion, we have shown that the relationship between ΔR2 (*) and [Gd] is affected by the organization of red blood cells and orientation of blood vessels with respect to the main magnetic field, as well as the field strength. These findings are important for further optimization of the realistic 3D model that could eventually be used to improve the estimation of hemodynamic parameters from DSC-MRI.

Geostress-Adaptive Charge Structure Design and Field Validation for Machinery Room Excavation.

The application of blasting in modern engineering construction is prized for its speed, efficiency, and cost-effectiveness. However, the resultant vibrations can have significant adverse effects on surrounding buildings and residents. The challenge of optimizing blasting procedures to satisfy excavation needs while minimizing vibration impacts is a critical concern in blasting excavation. This research addresses this challenge through the development of a 3D simulation and analysis model for an underground pumped storage power plant in East China, utilizing the LS-DYNA finite element analysis software. To explore the influence of charging structures on rock fragmentation and vibration propagation, three distinct blasting programs were formulated, each featuring varied configurations within the machinery room. The analysis revealed that the adoption of an optimized charging structure can significantly decrease damage to the protective layer by approximately 40%, while also reducing the impact on the upstream and downstream side walls by 27.25% and 12.03%, respectively, without compromising the efficacy of the main blast zone. Moreover, the vibration velocities at the remote measurement point were found to be reduced across multiple directions, indicating effective control of the vibration effects. The post-implementation of the optimized blasting strategy at the site, the assessment of the retained surrounding rock integrity, and the impact on protected structures demonstrated that the proposed solution met satisfactory outcomes. This study underscores the potential of simulation-based optimization in managing vibration risks during blasting operations, offering a valuable tool for engineers and practitioners in the field of underground construction.

Damage Analysis of a Tunnel Under Rigid and Deformable Impactors

Missile impacts on underground structures pose significant safety concerns, necessitating thorough investigation to enhance the resilience and safety of such infrastructures. This study aims to evaluate the effects of missile impacts on underground structures by comparing the impact of rigid and deformable impactors using advanced simulation techniques. The simulation of 3D models of impact scenarios on underground structure was carried out using ANSYS/LSDYNA software. The simulations focused on assessing the differences in damage caused by rigid and deformable impactors. Due to the symmetry of the geometry and loading, a quarter of the model was simulated to reduce calculation time. Various material models were employed, including MAT_RHT for rock, MAT_CSCM_CONCRETE for concrete, and MAT_PLASTIC_KINEMATIC for rebars and impactors. Different contact algorithms and boundary conditions were applied to replicate real-world scenarios accurately. Our analysis revealed that employing a deformable impactor significantly reduces the damage to both the ground and the tunnel lining compared to a rigid impactor. Specifically, the velocities observed for rigid and deformable impactors were 91.8 and 65.7 m/s, respectively. Validation of the numerical model was achieved through comparison with experimental data on RC beams subjected to impact, demonstrating the model’s reliability in predicting impact responses. Our findings underscore the critical influence of impactor material behaviour on damage outcomes. The results advocate for the consideration of nonrigid materials in impact assessments for stiff structures, contributing to enhanced safety protocols and design strategies for underground infrastructure.

Local stress/strain field analysis of die-casting Al alloys via 3D model simulation with realistic defect distribution and RVE modelling

The deformation and fracture behavior of die-casting aluminium (Al) alloys is very complex. Due to local variations in properties, the microstructure and mechanical behavior of materials are highly anisotropic. In this paper, an attempt has been made to quantitatively study the defect characteristics of high pressure cast Al alloy parts using experimental and finite element calculation methods, and to analysis the effect of local porosity and pore size on plasticity. Three-dimensional solids with real defect distribution are obtained by using 3D X-ray computed tomography, and used as an input for building a finite element model. The damage initiation of cast Al alloys under complex stress states is analyzed from micro to macro scales. Crack propagation occurs through two modes of microporous agglomeration: aggregated pores produce cracks from internal necking and stress concentration. Then, they expand in the same direction, agglomerate in a specific direction and eventually fracture. Subsequently, the effect of porosity on non-homogeneity was elucidated by obtaining local stress/strain behavior through digital image correlation measurements. Additionally, a theoretical framework of elasto-plastic deformation of microstructures and a 3D representative volume element model are developed to simulate the deformation and damage processes under cyclic boundary conditions of materials. The simulation results show that the local stress/strain around the pores evolves gradually with deformation. During the die casting process, the method demonstrates the ability to predict the mechanical behavior of Al alloys.

PELATIHAN BUILDING INFORMATION MODELLING BERBASIS TEKLA STRUCTURES PADA SISWA SEKOLAH MENENGAH KEJURUAN KELAS XI DI KABUPATEN MOJOKERTO

Vocational High School (SMK) graduates contributed the most to the percentage of TPT (Open Unemployment Rate) as of August 2022 of 5.86% or 8.42 million people. The importance of increasing the involvement of partners in the world of work in designing and managing learning in vocational schools and developing the potential of students' abilities and expertise that are in line with opportunities to work in the world of work and/or entrepreneurship can reduce the TPT score. The results of direct observations at schools and confirmed based on the provisions of BSKAP 033/H/KR/2022, the learning achievements of students have not achieved their competencies in either phase E or F, namely regarding the ability to model 3D pictorial projections using BIM technology. The purpose of this PKM in the field of BIM applications is to improve students' skills in applying Building Information Modeling in achieving 3D modeling abilities and competencies. The empowerment method applied is in the form of training and mentoring of BIM applications in 3D modeling of construction buildings to improve the skills of partners related to drawing 3D building structures with BIM technology integrated with software. From the results of the initial and final assessment analysis, it was found that there was an increase in partner skills related to drawing 3D building structures with BIM technology integrated with software of ≥ 70% based on the performance of the 3D modeling simulation that was built after participating in the training as well as an increase in skills in creating informative construction design visualizations with software of ≥ 70%.

Effectiveness of a 3D printed model in emergency front-of-neck access training: a comparative study with the porcine laryngotracheal model

Introduction: Emergency front-of-neck access (eFONA) is the last rescue step in the difficult airway, recommended by the different anesthesia societies to solve the “can’t intubate, can’t oxygenate” (CICO) situation. This is a rarely occurring, albeit critical situation which may result in catastrophic clinical consequences, hence the need for continuous training in simulated circumstances. Objective: To compare and analyze a 3D printed model with the porcine laryngotracheal apparatus traditionally used for surgical cricothyrotomy training. Materials and Methods: Experimental study in which residents from the Anesthesia and Resuscitation and Otolaryngology specialization programs at Valparaiso University in Chile performed surgical cricothyrotomy in both simulation models. Fidelity with the two methods was assessed and differences were compared. Results: Regarding palpation of the structures, the 3D model received better ratings in terms of all of the anatomical landmarks studied, except for the thyroid cartilage. Regarding the fidelity of the technique in both models, the 3D printed model had better ratings in terms of visualization, palpation and handling when compared with the porcine laryngotracheal apparatus. Conclusions: The 3D simulation model could have advantages over the porcine models in terms of availability, standardization and potential for continuous training for practitioners whose clinical practice includes airway management.

Research on Decoration of Tourist Homestays and Hotels Based on Digital Image Network Computing

In today’s digital age, the tourism and homestay industry is facing unprecedented opportunities and challenges. With the continuous expansion of the tourism market, tourists’ demands for accommodation experience are becoming increasingly diverse and personalized. Traditional design methods often struggle to quickly respond to these changes, fully showcase regional characteristics, and achieve efficient personalized customization. At the same time, how to integrate modern technology while retaining traditional charm to enhance the attractiveness and comfort of homestays has become an urgent problem to be solved. This paper aims to explore in depth how to use this technological framework to optimize the decoration design of tourist homestays, in order to create living spaces that retain traditional charm and are rich in modern technology. By utilizing digital image network computing technology, it is possible to conduct 3D modeling and virtual simulation of the indoor space of homestays. By simulating different furniture placement and spatial separation schemes, combined with tourist behavior analysis data, the optimal spatial layout scheme is automatically recommended to achieve maximum space utilization and a comfortable living experience. This technology can analyze a large number of color matching cases, combined with the cultural characteristics of the area where the homestay is located, and apply the principles of color psychology to provide personalized color schemes for homestay design. Meanwhile, through style recognition and recommendation algorithms, designers can quickly locate and integrate traditional and modern elements to create unique decorative styles.

Optimized Design of Full‐Bridge LLC Planar Transformer Based on Variable‐Width Windings

ABSTRACTTo address the issue of significant loss increase in planar transformers at high frequencies in LLC resonant converters, the winding width of the transformer was optimized. This design minimizes losses due to eddy currents and skin effects, thereby optimizing the transmission efficiency of the LLC resonant converter. This paper developed a mathematical model of the transformer windings, analyzed the losses in the windings and the core of the planar transformer, and summarized the design rules for three commonly used winding geometries. By determining the optimal winding width, the transformer losses were optimized. Using the finite element simulation software Maxwell3D, a 3D simulation model of the transformer was constructed. The simulation results were compared, and a 500‐W full‐bridge LLC prototype was built to validate the principles summarized in the paper.

A simulation on field distribution and particle capture characteristics in a multi-wire PHGMS system

ABSTRACT In the development history of high gradient magnetic separation (HGMS), the introduction of pulsating flow was extremely important, it successfully solved the problem of matrix clogging and allowed continuous and stable operation in the industry. However, the current pulsating HGMS (PHGMS) theory remains inadequately understood. In this paper, a 2D simulation model was established in COMSOL Multiphysics to reveal the magnetic field characteristics, flow field distribution, and particle capture dynamics in a PHGMS system. Quantitative comparisons were carried out between single-wire and multi-wire systems in the presence and absence of pulsation flow. The simulation results indicated that due to the coupled effect of neighboring magnetic wires in matrix, the magnetic field strength around an individual magnetic wire would slightly drop while the flow field velocity would increase. The introduction of pulsating flow could increase the peak value of fluid velocity and give particles a chance to move up and down. The analysis of particles travels length and capture probability indicated that the recovery for fine particles might be improved by increasing the strength of pulsating flow. This study provided a novel strategy for the highly efficient recovery of fine, weakly magnetic materials.

Novel logging while drilling azimuthal laterolog resistivity instrument design for oil-based mud

Abstract This paper proposes a novel structure for the logging while drilling azimuthal laterolog resistivity instrument specifically designed for oil-based mud (OBM). The instrument utilizes capacitive coupling to quantitatively evaluate formation resistivity, permittivity, and the standoff between the measuring electrode and the wellbore wall. This innovation addresses the challenges associated with azimuthal resistivity measurement in highly inclined and horizontal wells, while also offering a deeper depth of investigation (DOI). The tool response characteristics and data inversion methodology were analyzed through numerical calculations. Initially, a 3D numerical simulation model of finite element method that incorporates the instrument structure was developed and its accuracy was verified. By adjusting the electrode size, its DOI was optimized to >10 cm. The measurement impedance was examined in relation to varying measurement frequencies, the standoff, and the electrical parameters (resistivity, permittivity) of both the mud and the formation. Then, suitable instrument parameters and effects of formation and OBM were clarified. The simulation results show that the optimum frequency range is 0.1 to 100 MHz. To reduce the impact of standoff, the diameter of the drill collar should be larger than that of the conventional tool. Finally, a deep learning workflow was established, encompassing deep neural network training, parameter optimization, and testing. The accuracy and generalizability of the inversion method were validated using two complex synthetic stratigraphic models. The results of the inversed resistivity and standoff show good consistency with the set values of the two models. System numerical analysis demonstrates that the proposed instrument scheme can effectively address the drilling and formation evaluation requirements for ultra-deep wells and unconventional oil and gas resources, thereby providing a new option for data inversion.

Dynamic Simulation Model of Miniature Tracked Forestry Tractor for Overturning and Rollover Safety Evaluation

This study proposes a method to construct a dynamic simulation model to implement the lateral overturning and backward rollover characteristics of an actual tractor. Based on theoretical analysis, factors affecting these characteristics are identified, which include tractor weight, track width, wheelbase, location of mass center, weight distribution, heights of front and rear axles, and geometric shapes. The location of the mass center of the actual tractor is measured based on the standard test procedure set by the International Organization for Standardization, and the remaining influencing factors are derived through measurements. A three-dimensional (3D) model of the tractor is constructed to reflect all these factors. Additionally, a simulation model utilizing this 3D model is developed using a commercial dynamic simulation software program. The ability of the model to simulate the overturning and rollover characteristics of the actual tractor is verified by comparing the static sidelong falling angle and minimum turning radius with those of the actual tractor. The errors between the characteristics of the actual tractor and those of the 3D model and dynamic simulations are shown to be less than 5%, thus indicating that the proposed method can effectively simulate the overturning and rollover characteristics of the actual tractor.

NUMERICAL SIMULATION OF DOUBLE SKIN FACADES IN WINTER CLIMATES

The presented study reveals the analysis of the thermal behaviour of double skin facades (DSF) in winter conditions, using numerical simulation tools. The aim of the study is the development of a 3D simulation model, capable to evaluate the thermal behaviour of the modular elements in the DSF systems. This is essential requirement in the prediction and visualization of the facade’s thermal behaviour in the design stage and in the assessment of the real behaviour of such facade, when the specified modular elements are changed by the customer. The presented numerical simulation model aims to adequately reproduce the resulting set of thermal characteristics of the modular elements, to determine with sufficient accuracy their distribution in the real objects, implemented inthe models in DSF systems. An algorithm is developed in the study and graphical visualization of three models of double facade systems with and without DSF are analysed under winter conditions, using data from a meteorological station located in North-Eastern Bulgaria. A software product was used to represent the processes of heat and mass transfer, in which the corresponding boundary and initial conditions were set, based on which the results and analyses were obtained. The use of such numerical modelling is effective enough to predict the expected thermal behaviour of DSF systems. Thus, when selecting a DSF facade system, awareness of the thermal behaviour is ensured, and the financial efficiency of the project is more easily determined. Such a customized approach not only improves the sustainability and efficiency of buildings, but also satisfies the unique preferences and requirements of the customers.

Reliability-based multi-objective optimization design of composite patch repair structure using artificial neural networks

Due to the parameter differences and the existence of random factors, the performance of composite repair structure shows a large dispersion. In order to obtain stronger, lighter and more reliable repair structure, multi-objective optimization design of carbon fiber reinforced polymers (CFRP) laminate repair structure is investigated by combining the reliability theory, artificial neural networks and the genetic algorithm. First, a 3D simulation model of the composite laminate patch repair structures is established using the 3D Hashin criterion and the cohesive region model. Then, the Latin Hypercube sampling (LHS) method is used to realize the random sampling, and the strength proxy model of the repair structure is established by using Back-propagation artificial neural network, further a multi-objective optimization model with tensile strength, reliability and weight as objective functions is built considering the design parameters and the random parameters. Finally, NSGAⅡalgorithm is used to solve the multi-objective optimization problem, and a set of solutions on the Pareto front surface are obtained, also the optimal design parameters of the composite repair structure meets the requirements is obtained.

Barrier-free tomato fruit selection and location based on optimized semantic segmentation and obstacle perception algorithm.

With the advancement of computer vision technology, vision-based target perception has emerged as a predominant approach for harvesting robots to identify and locate fruits. However, little attention has been paid to the fact that fruits may be obscured by stems or other objects. In order to improve the vision detection ability of fruit harvesting robot, a fruit target selection and location approach considering obstacle perception was proposed. To enrich the dataset for tomato harvesting, synthetic data were generated by rendering a 3D simulated model of the tomato greenhouse environment, and automatically producing corresponding pixel-level semantic segmentation labels. An attention-based spatial-relationship feature extraction module (SFM) with lower computational complexity was designed to enhance the ability of semantic segmentation network DeepLab v3+ in accurately segmenting linear-structured obstructions such as stems and wires. An adaptive K-means clustering method was developed to distinguish individual instances of fruits. Furthermore, a barrier-free fruit selection algorithm that integrates information of obstacles and fruit instances was proposed to identify the closest and largest non-occluded fruit as the optimal picking target. The improved semantic segmentation network exhibited enhanced performance, achieving an accuracy of 96.75%. Notably, the Intersection-over-Union (IoU) of wire and stem classes was improved by 5.0% and 2.3%, respectively. Our target selection method demonstrated accurate identification of obstacle types (96.15%) and effectively excluding fruits obstructed by strongly resistant objects (86.67%). Compared to the fruit detection method without visual obstacle avoidance (Yolo v5), our approach exhibited an 18.9% increase in selection precision and a 1.3% reduction in location error. The improved semantic segmentation algorithm significantly increased the segmentation accuracy of linear-structured obstacles, and the obstacle perception algorithm effectively avoided occluded fruits. The proposed method demonstrated an appreciable ability in precisely selecting and locating barrier-free fruits within non-structural environments, especially avoiding fruits obscured by stems or wires. This approach provides a more reliable and practical solution for fruit selection and localization for harvesting robots, while also being applicable to other fruits and vegetables such as sweet peppers and kiwis.

Optimization Analysis of Tennis Player Training Mode Based on 3D Simulation Model

This paper is based on 3D simulation technology and deeply analyzes the optimization strategy of tennis player training mode. The research focuses on two core systems: one is a remote motion monitoring system based on architecture, which captures and analyzes athletes’ motion data in real time, providing coaches with accurate motion feedback and training effectiveness evaluation; The second is a 3D-based safety monitoring system, which uses 3D simulation technology to simulate the training environment, monitor and warn potential safety risks in real time, and ensure the safety of athletes during training. These two systems are designed for different demand scenarios in tennis training, with complementary functions, and together constitute an intelligent solution for optimizing the training mode of tennis players. By continuously improving algorithms, optimizing data storage and computation methods, and improving the accuracy of data analysis and mapping, this study aims to enhance the scientific, efficient, and safe training of tennis players, providing strong support for the comprehensive improvement of their skills and physical fitness.

3D Model Simulation in Preoperative Planning of Complex and Revision Hip Replacement

Complex and revision hip arthroplasty has remained one of the most discussed orthopedic topics in recent years. With the advancement of printing technologies 3D preoperative planning and live model simulation provides us with “hands on” procedures without any risk for the patient. Modern computer technologies present the possibility for preoperative planning of Total Hip Arthroplasty (THA) in digital environment. 3D printing of anatomical models in real size allows accurate assessment of the pathological deviations of the anatomy, precise preoperative planning of the reconstruction and simulation of the operative intervention ex-vivo. We present a series of 3D simulations for planning hip replacement, illustrating the technique, discussing its advantages and disadvantages, in complex primary and revision hip arthroplasty. In the complex and revision surgery of the hip joint, a correct assessment of bone defects is mandatory. Reconstructing the biomechanical parameters – centre of rotation, femoral offset and leg length discrepancy, is also of great significance. The 3D reconstruction with biomodel simulations offers exceptional accuracy in this respect. The method can be an excellent tool for education of surgeons in training and residents.

Foam Flood in Yates Reservoir for Improving Oil Recovery

Summary The Yates reservoir is a major, multibillion-barrel legacy oil reservoir in west Texas, USA, discovered in 1926. Oil production mainly comes from the San Andres formation, which is a highly fractured dolomite rock. The fractures in the reservoir provide preferential pathways for fluid flow, leading to early breakthrough of injected fluids and reduced sweep efficiency. As a result, even though a number of secondary and tertiary injection techniques have been implemented over the field’s history to improve the sweep, only a third of the original oil in place has been recovered thus far. The majority of the bypassed oil is believed to remain in the matrix. In this paper, we describe a foam flood that has been implemented at Yates to sweep the bypassed oil in the matrix rock. Foam flooding in the Yates reservoir involves injecting a surfactant, along with the produced gas (PG) into the reservoir. The surfactant reduces the surface tension between the gas and liquid phases, creating a stable foam. This foam is then injected into the reservoir to improve oil recovery. In the case of the Yates reservoir, foam flooding can address several challenges specific to fractured carbonate reservoirs. Foam flooding helps mitigate poor sweep efficiency issue by reducing the mobility of the injected gas, forcing it to contact and displace more oil within the matrix. An extensive laboratory program was implemented to select suitable surfactants that produce stable foam in Yates’ fluids and rock system. Several corefloods were also conducted at the reservoir conditions to evaluate the benefits of a foam flood at Yates. The coreflood results indicate that an incremental oil recovery of 13–16% can be achieved by a foam flood. A 3D compositional simulation model around the injection pattern of Yates Field Unit (YFU) 4045 was developed to evaluate the field implementation of the foam flood at Yates. The simulation model used the foam parameters derived from the laboratory experiments. The simulation results indicated that a field pilot can be implemented to achieve improved recovery in pattern YFU 4045. A continuous foam injection pilot was implemented for a period of 6 months by simultaneously injecting PG and surfactant solution with average concentration of 1,200 ppm that resulted in an average foam quality of 50%. Several surveillance techniques were implemented to confirm foam formation, such as setting a downhole pressure gauge and running injection profiles with and without the foam. A gas tracer was also injected to verify if gas diversion was achieved because of the foam injection. An analysis of the pattern producer performance shows a significantly higher incremental oil recovery after the foam flood compared with the initial estimates. A dimensionless scaling technique was developed using the foam flood pilot results to expand the foam flood to other areas of the field.