Interactive 3D simulation of Taal Volcano eruption plumes

After 43 years of dormancy, Taal Volcano violently erupted in January 2020 forming a towering eruption plume. The fall deposits covered an area of 8605 km2, which includes Metro Manila of the National Capital Region of the Philippines. The tephra fall caused damage to crops, traffic congestion, roof collapse, and changes in air quality in the affected areas. In a tropical region where heavy rains are frequent, immediate collection of data is crucial in order to preserve the tephra fall deposit record, which is readily washed away by surface water runoff and prevailing winds. Crowdsourcing, field surveys, and laboratory analysis of the tephra fall deposits were conducted to document and characterize the tephra fall deposits of the 2020 Taal Volcano eruption and their impacts. Results show that the tephra fall deposit thins downwind exponentially with a thickness half distance of about 1.40 km and 9.49 km for the proximal and distal exponential segments, respectively. The total calculated volume of erupted fallout deposit is 0.057 km3, 0.042 km3, or 0.090 km3 using the exponential, power-law, and Weibull models, respectively, and all translate to a VEI of 3. However, using a probabilistic approach (Weibull method) with 90% confidence interval, the volume estimate is as high as 0.097 km3. With the addition of the base surge deposits amounting to 0.019 km3, the volume translates to a VEI of 4, consistent with the classification for the observed height and umbrella radius of the 2020 main eruption plume. VEI 4 is also consistent with the calculated median eruption plume height of 17.8 km and sub-plinian classification based on combined analysis of isopleth and isopach data. Phreatomagmatic activity originated from a vent located in Taal Volcano’s Main Crater Lake (MCL), which contained 42 million m3 of water. This eruptive style is further supported by the characteristics of the ash grain components of the distal 12 January 2020 tephra fall deposits, consisting dominantly of andesitic vitric fragments (83–90%). Other components of the fall deposits are lithic (7–11%) and crystal (less than 6%) grains. Further textural and geochemical analysis of these tephra fall deposits contributes to better understand the volcanic processes that occurred at Taal Volcano, one of the 16 Decade Volcanoes identified by the International Association of Volcanology and Chemistry of the Earth’s Interior (IAVCEI) because of its destructive nature and proximity to densely populated areas. The crowdsourcing initiative provided a significant portion of the data used for this study while at the same time educating and empowering the community to build resilience.

<div class="htmlview paragraph">As spaceflight hardware becomes increasingly complex, ever greater demands are placed on astronauts’ training capacity. In addition, astronauts are being asked to conduct unplanned operations with minimal or no training, and long duration operations preclude the ability to thoroughly train before flight on many operations. This trend will be more pronounced as we approach remote operations on the moon and Mars in the Exploration era. In response, Orbital Technologies Corporation has developed an interactive and collaborative 3D simulation training solution for payloads and International Space Station systems. This portable web-based training system provides flexible, efficient and effective pre-flight, real-time and operational training support. Unlike virtual reality systems, this next generation simulation can also be used for remote or just-in-time procedural training between ground-based experts and astronauts in space due to its low file size and collaboration capability. Although this technique will not totally replace all hands-on training hardware, millions of dollars can be saved in time, travel, and support equipment while advancing the level of training effectiveness.</div> <div class="htmlview paragraph">Training capabilities to support remote, complex equipment are also found in many highly competitive commercial markets. Companies that produce equipment with sophisticated technical maintenance procedures often cannot afford the cost of hands-on training with expensive production equipment. Remote field service networks also require companies to provide effective portable training and information. The military, heavy equipment manufacturers, automotive OEMs, aeronautical companies and consumer service centers are optimal targets for adapting specialized immersive simulator training or in-field maintenance aids to a PC-based or portable 3D interactive solution. This technology also offers these markets the ability to include parts identification and links to knowledge databases or ordering systems that expand a training tool into a complete service solution.</div>

This paper outlines critical reservoir management issues and technical areas for effectively managing water and gas floods. A tie between reservoir modelling and performance prediction and decision analysis is illustrated. Case studies are discussed to show the contributions of new and integrated technologies to effective reservoir management. In summary, the companies with a technological leadership position in this area are beginning to harvest the fruits of their actions. Introduction Integrated reservoir management and technology are being increasing applied to maximize economic recovery of oil and gas. The need to enhance recovery from the vast amount of remaining oil- and gas-in-place from existing reservoirs and to maximize recovery from newly discovered fields require the use of integrated technologies and better reservoir management practices(1), Historically, some form of reservoir management has been practiced when a major expenditure is planned, such as a new field development or waterflood installation. The reservoir management practices in these instances most often were not integrated, i.e., different disciplines did their own work separately. During the last five years, however, greater emphasis has been placed on synergism between various functional disciplines, and many companies practicing this are benefiting from their synergistic activities(2). Manyleading-edge technological advances have now been made in geophysics, geology, petrophysics, and reservoir and operations engineering. Mainframe super computers, more powerful personal computers, and workstations are providing ever increasing computing power. Integrated, life-cycle, database-management systems are also being developed and deployed. Integrated, interactive 3D reservoir modelling and simulation assist in describing reservoir geometry and property distribution. In addition, integrated 3D graphics workstations and parallel processors provide the tools to achieve reservoir characterization and modelling efficiently by reviewing the simulation results with other reservoir descriptions and static data and by changing the model, if necessary. Thus, it is now possible for geoscientists and engineers to use new developments in geologic modelling and geostatistical techniques to build a 3D model from static data and edit the model while history matching dynamic data. Combining geostatistical reservoir characterization with high resolution 3D seismic interpretation provides a new dimension in accurately modelling the reservoir. On the other hand, new technologies such as hybrid simulation and scale up provide alternatives to a large-scale computer simulation, yet retaining the geologic heterogeneities in the model. This paper first describes major elements of a successful reservoir management program, and then documents case studies illustrating sound reservoir management and decision analysis practices pertaining to water- and gasflood projects. Elements of Successful Reservoir Management (1) The major elements of a successful reservoir management program are identified below. Data Collection and Management Data collection and management are very important to project success. A clear understanding of the purpose and application of the data is needed, i.e., define why the information is needed and how it is to be used. A cost-benefit analysis of the data, that is, the cost of data collection and management and the benefits to be derived, is mandatory.

California’s Central Valley offers vast opportunities for CO2 storage in deep saline aquifers. We conducted an induced seismicity hazard assessment for a potential injection site in the southern San Joaquin Basin for 18 years of injection at 0.68 MtCO2/yr and 100 years of monitoring. We mapped stress, faults, and seismicity in a 30 km radius around the site to build a geomechanical model and resolve the stresses on major faults. From a 3D hydromechanical simulation of the CO2 plume, we calculated the change in pressure over time on these faults and determined the conditions for safe injection. Lacking any subsurface imaging, we also conducted a probabilistic fault slip analysis using numerous random distributions of faults and a range of geomechanical parameters. Our results show that the change in probability of fault slip can be minimized by controlling the size, migration, and magnitude of the pressure plume. We also constructed a seismic catalog for the last 20 years around the site and characterized the natural patterns of seismicity. We use these results to establish criteria for evaluating potential-induced events during the storage period and to develop a traffic light response system. This study represents a first-order procedure to evaluate the seismic hazards presented by CO2 storage and incorporate uncertainties in hydrological and geomechanical parameters.

Ultrasound (US)-guided renal biopsy is a critically important tool in the evaluation and management of non-malignant renal pathologies with diagnostic and prognostic significance. It requires a good biopsy technique and skill to safely and consistently obtain high yield biopsy samples for tissue analysis. This project aims to develop a virtual trainer to help clinicians to improve procedural skill competence in real-time ultrasound-guided renal biopsy. This paper presents a cost-effective, high-fidelity trainer built using low-cost hardware components and open source visualization and interactive simulation libraries: interactive medical simulation toolkit (iMSTK) and 3D Slicer. We used a physical mannequin to simulate the tactile feedback that trainees experience while scanning a real patient and to provide trainees with spatial awareness of the US scanning plane with respect to the patient's anatomy. The ultrasound probe and biopsy needle were modeled using commonly used clinical tools and were instrumented to communicate with the simulator. 3D Slicer was used to visualize an image sliced from a pre-acquired 3-D ultrasound volume based on the location of the probe, with a realistic needle rendering. The simulation engine in iMSTK modeled the interaction between the needle and the virtual tissue to generate visual deformations on the tissue and tactile forces on the needle which are transmitted to the needle that the user holds. Initial testing has shown promising results with respect to quality of simulated images and system responsiveness. Further evaluation by clinicians is planned for the next stage.

There is an increasing demand for 3D geographic simulation systems. Most systems currently available are closed and based on fixed architectures. Some systems allow us to develop and customize a 3D geographic simulation system, but this usually requires the writing of extensive program code. Especially in 3D geo-disaster simulations, for example, we need to dynamically integrate 2D legacy GIS with 3D geographic simulation systems in order to investigate the details about the damaged areas and the consequences of the disasters. The authors propose a component-based application framework for 3D geographic simulation that can integrate a legacy 2D GIS with geographic simulation systems in a 3D visual environment. Their framework provides a set of 3D visual components required for the development of a new interactive 3D visual geographic simulation. In their framework, component integrators can construct 3D geographic simulation systems by composing the 3D visual components. Moreover, the authors’ integration framework provides two fundamental integration mechanisms, view integration and query integration mechanisms, to integrate it with legacy 2D systems. The view integration function maps the 2D rendering of a legacy 2D GIS onto the surface of the 3D geography used in a 3D visual geographical simulator, and then dispatches every event on the geographic surface to the original 2D GIS. The query integration automatically converts each 3D simulation result that is shown as a set of highlighted regions on the surface of the geography to the corresponding regional query to the 2D GIS. The proposed framework is based on their 3D meme media architecture in which components are represented as meme media objects, and their interoperation is defined by slot connections between them. As a result, their framework enables users to compose 3D geographic simulation systems and to integrate a legacy 2D GIS with a 3D geographic simulation system simply by composing display objects in a 3D visual environment.

Virtual Reality is becoming a mature technology field. To understand its origins and foresee strategies, a study on the last decade of papers published in the Brazilians´ most prominent symposium (the SVR - Symposium on Virtual and Augmented Reality) has been carried out. Papers were classified according to language, international participants, areas and sub-areas of application and related technologies. Although oversees participants has proven not constant, papers published in English has proven stable to SVR editions. The study also shows that health related applications have received most of the attention although techniques and tools proposal have raised the most recently which could be related to the low-level programming languages and frameworks preferences. The number of Augmented Reality papers has grown steadily and a great variety of underlying knowledge fields (such as 3D interaction and real-time simulation) are persistent topics of interest. An expected shift from VRML to other 3D Web technologies have already happened but there are just a few research papers devoted to formulative, evaluative or descriptive approaches. Data show that by improving the research budget to the area could impact productivity, a centralized database of publications would facilitate recovering and analyzing past contributions and, that enforcing more scientifically rigorous and English-written papers could raise the quality and visibility of Brazilians´ research in VR.

Medical imaging research and clinical applications usually require combination and integration of different technology from image processing to realistic visualization to user-friendly interaction. Researchers with different background and from various research areas have been using numerous types of hardware, software and environments to produce their research results. It is unusual that students must build their working and testing tools from scratch again and again. A generic and flexible medical imaging and visualization toolkit would be helpful in medical research and educational institutes to reduce redundant development work and hence prompt their research efficiency. In our lab, we have developed a Medical Imaging and Visualization Toolkit (BIL-kit), which is a set of comprehensive libraries as well as a number of interactive tools. It covers a wide range of fundamental functions from image conversion and transformation, image segmentation and analysis, to geometric model generation and manipulation, all the way up to 3D visualization and interactive simulation. The toolkit design and implementation emphasize the reusability and flexibility. BIL-kit is implemented by using Java language because of its advantage in platform independent, so that the toolkit will work in hybrid and dynamics research and educational environments. This also allows the toolkit to extend its usage in web based application development. BILkit is a suitable platform for researchers and students to develop visualization and simulation prototypes as well as it can also be used for development of clinical applications.

The 2010 Eyjafjallajökull volcano eruption had serious consequences to civil aviation. This has initiated a lot of research on volcanic ash forecasting in recent years. For forecasting the volcanic ash transport after eruption onset, a volcanic ash transport and diffusion model (VATDM) needs to be run with Eruption Source Parameters (ESPs) such as plume height and mass eruption rate as input, and with data assimilation techniques to continuously improve the forecast. Reliable and accurate ash measurements are crucial for providing successful ash clouds advices. In the first<br/>phase of this research work, simulated aircraft-based volcanic ash measurements, will be assimilated into a transport model to identify the potential benefit of this kind of observations in an assimilation system. The results show that assimilating aircraft-based measurements can improve the state of ash clouds, and can provide an improved forecast. We also show that for an advice on the aeroplane flying level, aircraft-based measurements should preferably be taken at this level. Furthermore<br/>it is shown that in order to make an acceptable advice for aviation decision makers, accurate knowledge about uncertainties of ESPs and measurements is of great importance.<br/><br/>The forecast accuracy of distal volcanic ash clouds is important for providing valid aviation advice during volcanic ash eruptions. However, because the distal part of a volcanic ash plume is far from the volcano, the influence of eruption information on this part becomes rather indirect and uncertain, resulting in inaccurate volcanic ash forecasts in these distal areas. In this thesis, we use real-life aircraft in situ observations, measured in the North-West part of Germany during the 2010 Eyjafjallajökull eruption, in an ensemble-based data assimilation system to investigate the potential improvement on the forecast accuracy with regard to the distal volcanic ash plume. We show that the error of the analyzed volcanic ash state can be significantly reduced by assimilating real-life in situ measurements. After assimilation, it is shown that the model-based aviation advice for Germany, the Netherlands and Luxembourg can be improved. We suggest that with suitable aircrafts measuring once per day across the distal volcanic ash plume, the description and prediction of volcanic ash clouds in these areas can be improved significantly.<br/><br/>Among the data assimilation approaches, the ensemble Kalman filter (EnKF) is a well-known and popular method. A proper covariance localization strategy in the analysis step of EnKF is essential for reducing spurious covariances caused by the finite ensemble size, as shown for this application for assimilation of aircraft in situ measurements. After analyzing the characteristics of the physical forecast error covariances, we present a two-way tracking approach to define the localization matrix<br/>for covariance localization. The result shows that the Two-way-tracking Localized EnKF (TL-EnKF) effectively maintains the correctly specified physical covariances and largely reduces the spurious ones. The computational cost of TL-EnKF is also evaluated and is shown to be advantageous for both serial and parallel implementations. Compared to the commonly used distance-based covariance localization, the two-way tracking approach is shown to be more suitable. In addition, the covariance inflation approach is verified as an additional improvement to TL-EnKF to achieve more accurate results.<br/><br/>A timely prediction requires that the computations of the data assimilation system can be performed quickly (at least than the Wall-clock). We therefore investigate strategies for accelerating the data assimilation algorithm. Based on evaluations of the computational time, the analysis step of the assimilation turns out to be the most expensive part. After a study on the characteristics of the ensemble ash state, we propose a mask-state algorithm which records the sparsity information of the full ensemble state matrix and transforms the full matrix into a relatively small one. This will reduce the computational cost in the analysis step. Experimental results show the mask-state algorithm significantly speeds up the analysis step. Subsequently, the total amount of computing time for volcanic ash data assimilation is reduced to an acceptable level. The mask-state algorithm is generic and thus can be embedded in any ensemble-based data assimilation framework. Moreover, ensemble-based data assimilation with the mask-state algorithm is promising and flexible, because it implements exactly the standard data assimilation without any approximation and it realizes the satisfying performance without any change of the full model.<br/><br/>Infrared satellite measurements of volcanic ash mass loadings are often used as<br/>input observations for the assimilation scheme. However, these satellite-retrieved<br/>data are often two-dimensional (2D), and cannot easily be combined with a three-dimensional (3D) volcanic ash model to improve the volcanic ash state. By integrating available data including ash mass loadings, cloud top heights and thickness information, we propose a satellite observational operator (SOO) that translates satellite-retrieved 2D volcanic ash mass loadings to 3D concentrations at the top layer of the ash cloud. Ensemble-based data assimilation is used to assimilate the extracted measurements of ash concentrations. The results show that satellite data assimilation can force the volcanic ash state to match the satellite observations, and that it improves the forecast of the ash state. Comparison with highly accurate aircraft in situ measurements shows that the effective duration of the improved volcanic ash forecasts is about a half day.

In order to meet the increasing aesthetic needs of the public, improve the integration of traffic planning and urban planning, facilitate traffic simulation data analysis and effect display, and facilitate traffic planning scheme evaluation, this paper is based on cesium to develop a three-dimensional simulation platform for urban traffic, design Celestia came out, and based on common simulation software such as sumo, Paramics, Vissim, and used Python and JavaScript language to design and develop a web page simulation platform to display the 3D effect of road traffic simulation for users, and added a lot to improve the simulation effect, which is convenient for users. Functions to evaluate simulation effects. Users only need to open the website, upload the simulation file or select the map area in the map link box, select the simulation parameter requirements, and wait for the data to be read in the background to get an interactive 3D traffic simulation. This work with convenient operation, powerful function and broad development space largely fills the blank of domestic road traffic 3D simulation. Experiments show that when the number of divisions reaches 15, the resolution is 0.037m (within 5 cm), which can meet most practical needs.

Organogenesis, the process by which organs develop from individual precursor stem cells, requires that the precursor cells proliferate, differentiate, and aggregate to form a functioning structure. This process progresses through changes in 4 dimensions: time and 3 dimensions of space-4D. Experimental analysis of organogenesis, by its nature, cuts the 4D developmental process into static, 2D histological images or into molecular or cellular markers and interactions with little or no spatial dimensionality and minimal dynamics. Understanding organogenesis requires integration of the piecemeal experimental data into a running, realistic and interactive 4D simulation that allows experimentation and hypothesis testing in silico. Here, we describe a fully executable, interactive, visual model for 4D simulation of organogenic development using the mouse pancreas as a representative case. Execution of the model provided a dynamic description of pancreas development, culminating in a structure that remarkably recapitulated morphologic features seen in the embryonic pancreas. In silico mutations in key signaling molecules resulted in altered patterning of the developing pancreas that were in general agreement with in vivo data. The modeling approach described here thus typifies a useful platform for studying organogenesis as a phenomenon in 4 dimensions.

This reference is for an abstract only. A full paper was not submitted for this conference. Abstract Description Reliability of long-term production forecasts issued from reservoir simulations is strongly dependent on the quality of reservoir models on which fluid flows simulations are run. In carbonate reservoirs, the usual difficulty for building reliable models is emphasized by the natural complexity of the reservoirs : biological aspects of sedimentation make very complex the reservoir architecture, which is usually overprint by early or late diagenesis and/or fracturing. High perm streaks, as well as cemented barriers, that control well productivity and stability of displacement front during production, are usually the result of such diagenetic overprint. Ignoring these geological features while constructing reservoir models may lead to deliver models unable to match actual production history and to carry out reliable production forecast. It is why, among all the challenging issues that exist in carbonate reservoir modelling domain, three of the main ones are related to :1. the ability to distribute in 3D, for the whole reservoir, the diagenetic features observed through well data,2. the management, during the modelling process, of multi-stages diagenesis which makes the reservoir architecture extremely complex with nested structures,3. the possibility to drive the reservoir modelling by results coming from dynamic data, in order to simplify the history matching stage during fluid flow reservoir simulation. This paper presents a new and very innovative methodology for meeting those three needs while modelling complex carbonate reservoirs affected by fluid-rock interactions. Application The methodology consists in a genetic-like simulation of the fluid-rock interaction and its effects on reservoir properties :1. Starting from a geological model in which all the heterogeneity from depositional pattern, early diagenesis, and fracturing is already input,2. A simulation is run to reproduce the evolution of the original reservoir properties during the diagenesis stage.3. The method consists in a 4D simulation, the reservoir being progressively modified by the circulation of mineralised or aggressive water.4. At any time-step of the simulation, the interaction between the fluid and the rock is represented through a mathematical function which modifies the probability for fluid displacement at the next time-step.5. The fluid displacement is driven by both reservoir properties at time of displacement, and by any gradient provided by the geological concept.6. Facies can react with fluid in a heterogeneous way, and fluid itself can lose or win power of agressivity on rock during the simulation.7. Nature of fluid-rock interaction, fluid gradient, or any geological parameter may change after a given stage of diagenesis for simulating a following stage.8. Objective functions are input for some of the reservoir properties, at local, regional, or field scale. Until target values are not reached, simulation goes on and the reservoir is modified. If dynamic properties are input in the objective function, the resulting model of the simulation should consist in an image of the reservoir easily history matched during fluid flow simulation. Results & Conclusions This new methodology was applied on a reservoir in which hydrothermal dolomite (HTD) has been identified. In that field, dolomitisation resulting from hydrothermal water circulation is systematically associated with faults and fractures. However, very thin layer can have been affected by fluids diverted in stratigraphic layers while moving up in the fault network. Effects on reservoir properties are locally considerable, reservoir permeability can be multiplied by 1000 after dolomite has replaced original limestone. Reservoir permeability at large scale is documented through well tests and interference tests. These data have helped to constrain the development of dolomite in the reservoir during the simulation. The evolution of the effects of fluid-rock interaction in the 4D space are really impressive and help to understand the extreme heterogeneity of reservoir properties. As a movie, the displacement of dolomitisation front in the fracture network, and the diversion in some stratigraphic layers, help geologists and reservoir engineers to identify zones with potentially high values of well productivity indexes, as well as zones of high risk for early and unexpected water breakthrough. Significance of Subject Matter The efficiency of this innovative approach has also been demonstrated in other types of fluid-rock interaction (meteoric dissolution, mixed water) and it offers a great interest for all carbonate reservoirs in which late diagenesis drives reservoir properties.

<p>Strong explosive eruptions of volcanoes are the most dangerous for aircraft because they can produce in a few hours or days to the atmosphere and the stratosphere till several cubic kilometers of volcanic ash and aerosols. Ash plumes and the clouds, depending on the power of the eruption, the strength and wind speed, can travel thousands of kilometers from the volcano for several days, remaining hazardous to aircraft, as the melting temperature of small particles of ash below the operating temperature of jet engines.</p><p>There are 30 active volcanoes in the Kamchatka; scientists of KVERT monitor these volcanoes since 1993. Description of volcanic eruptions is based on video monitoring and various satellite data from the information system "Remote monitoring of the activity of volcanoes of the Kamchatka and the Kuriles" (VolSatView, http://kamchatka.volcanoes.smislab.ru). In 2021, three volcanoes (Sheveluch, Klyuchevskoy, and Karymsky) had eruptions.</p><p>The eruptive activity of Sheveluch (growth of the lava dome) is continuing since 1980. In 2021, explosions sent ash up to 7.5 km a.s.l. mainly in August and December; ash plumes were extending more 380 km to the different directions of the volcano. A new plastic lava block Dolphin-2 squeezed at the dome from February till July 2021. Resuspended ash was observed on 02-03 April, 06-07 July, 13-14 and 22 August, and 06-07 and 21 October: ash plumes were extending for 400 km to the east and southeast of the volcano. Satellite data by KVERT showed a thermal anomaly over the volcano all year. Activity of the volcano was dangerous to local aviation.</p><p>The terminal explosive-effusive eruptions of Klyuchevskoy volcano took place from 30 September, 2020 to 08 February, 2021. Explosions sent ash up to 8 km a.s.l., gas-steam plumes containing some amount of ash were extending for 500 km to the different directions of the volcano. The lava flows moved along Apakhonchichsky and Kozyrevsky chutes. Satellite data by KVERT showed a thermal anomaly over the volcano all year. The lateral break on the northwestern slope of Klyuchevskoy at an altitude of 2.8 km a.s.l. lasted from 17 February to 20 March, 2021: lava effused from two cracks, a cinder cone 60 m high was formed. By February 23, lava flows 1.2 km long reached the Erman glacier, mud flows passed about 30 km. Activity of the volcano was dangerous to international and local aviation.</p><p>Eruptive activity of Karymsky volcano was uneven in 2021. According to satellite data, the strong ash explosions were observed: on 04 April (8.5 km a.s.l.), 10 September (7 km a.s.l.), 03 November (11 km a.s.l.), and 06, 13, and 18 November (8 km a.s.l.); in the other months explosions sent ash up to 6 km a.s.l.; ash plumes and clouds drifted for 2700 km to the different directions from the volcano. The thermal anomaly over the volcano was recorded on satellite images from time to time. Activity of the volcano was dangerous to international and local aviation.</p>

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&lt;p&gt;An improvised explosive device (IED) is a “homemade” bomb intended to cause great harm when it explodes. The public safety task of identifying and neutralizing IEDs falls to military and police services often called explosive disposal units (EDU) who act to neutralize the threat associated with the IED either rendering it inoperable or destroying it safely. EDUs train in various aspects of explosive handling and investigation but are limited in the tools available for safely analyzing real world bombs. This paper describes a game based approach to IED training that employs an interactive 3D simulation to spatially identify key IED components of interest. We give an example of how this approach might be used and provide a preliminary evaluation of its potential effectiveness. We employ images formed from a Digital Imaging and Communications in Medicine (DICOM) system captured using Magnetic Resonance Imaging (MRI) technology to a virtual IED in a game. Empirical evaluation and EDU testimony suggest accurate representation of the IED and the potential efficacy of the proposed approach for successfully identifying components in the bomb for the purposes of EDU training.&lt;/p&gt;