Modeling and Inversion of Geophysical Well Logging Tool Responses in a Service-Oriented High Performance Computing Architecture

Polyakov, Valery; Kocian, R.; Omeragić, Dževat; Habashy, Tarek M.

doi:10.1109/icws.2007.126

Cited by 3 publications

(3 citation statements)

References 6 publications

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“…The parallel computing component of this architecture is a fit-for-purpose framework, whose objective is to make the forward modeling and inversion code execution as fast as possible, as geoscientists often have to take real-time decisions based the log modeling results. The system exhibits minimal parallelization overhead and achieves near theoretical speedups on clusters with hundreds of compute nodes [3]. The user does not have to monitor the simulation process; one can disconnect (close the browser) at any time and reconnect later to inquire about the status of the job.…”

Section: High-performance Simulation and Analysis Of Resultsmentioning

confidence: 99%

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Simulating Sonic Scanner responses in an interactive Web-based High Performance Computing environment

Polyakov

Valero

Omeragić

et al. 2008

The Journal of the Acoustical Society of America

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Sonic Scanner logging tool collects a wealth of data about the geological formation. The drawback of this is that we are now discovering new features on the acoustic logs that have never been observed before; only rigorous modeling can help properly interpret the data. Invariably, it is difficult to learn quickly how to run a modeling code, set the parameters properly, and be able to detect possible errors in the input. In addition, complex modeling requires high power computing resources, which are not always easily accessible the user. To address these problems we developed a multi-tier Web-based log modeling environment where the Sonic Scanner simulator is easily accessible from the common Web browser. The user builds the model in an intuitive AJAX-like interface and submits the simulation to a remote High Performance Cluster. The computed waveforms are played back in the browser using Scalable Vector Graphics in a variety of customizable displays. The Web application is easily available to any user with an Internet access. In addition, a programmatically accessible Web service is available to application developers who desire to build their own interpretation applications using the Sonic Scanner simulator engine.

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Section: High-performance Simulation and Analysis Of Resultsmentioning

confidence: 99%

“…We built on the earlier work of Polyakov et al [2]. The novelty of this system lies in the simplicity of creating the desired formation model; running forward modeling and inversion remotely from any location via the Web; and the high efficiency of the parallel computing execution framework [3].…”

Section: Introductionmentioning

confidence: 99%

Simulating Sonic Scanner responses in an interactive Web-based High Performance Computing environment

Polyakov

Valero

Omeragić

et al. 2008

The Journal of the Acoustical Society of America

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“…As an alternative method to determine the true formation resistivity for each layer in Holes WR313-H and GC955-H, we utilize Schlumberger's WebMI tool response codes (Polyakov et al, 2004(Polyakov et al, , 2007(Polyakov et al, , 2009. WebMI replicates the response of the LWD geo-VISION 1 Resistivity Tool (which collects the ring and button resistivity logs) as well as the LWD EcoScope 1 Tool (which collects the propagation resistivity logs) based on an estimated input formation.…”

Section: Determining R Tmentioning

confidence: 99%

Electrical anisotropy of gas hydrate-bearing sand reservoirs in the Gulf of Mexico

Cook

Anderson

Rasmus

et al. 2012

Marine and Petroleum Geology

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a b s t r a c tWe present new results and interpretations of the electrical anisotropy and reservoir architecture in gas hydrate-bearing sands using logging data collected during the Gulf of Mexico Gas Hydrate Joint Industry Project Leg II. We focus specifically on sand reservoirs in Hole Alaminos Canyon 21 A (AC21-A), Hole Green Canyon 955 H (GC955-H) and Hole Walker Ridge 313 H (WR313-H). Using a new logging-whiledrilling directional resistivity tool and a one-dimensional inversion developed by Schlumberger, we resolve the resistivity of the current flowing parallel to the bedding, R k and the resistivity of the current flowing perpendicular to the bedding, R t . We find the sand reservoir in Hole AC21-A to be relatively isotropic, with R k and R t values close to 2 U m. In contrast, the gas hydrate-bearing sand reservoirs in Holes GC955-H and WR313-H are highly anisotropic. In these reservoirs, R k is between 2 and 30 U m, and R t is generally an order of magnitude higher.Using Schlumberger's WebMI models, we were able to replicate multiple resistivity measurements and determine the formation resistivity the gas hydrate-bearing sand reservoir in Hole WR313-H. The results showed that gas hydrate saturations within a single reservoir unit are highly variable. For example, the sand units in Hole WR313-H contain thin layers (on the order of 10e100 cm) with varying gas hydrate saturations between 15 and 95%. Our combined modeling results clearly indicate that the gas hydratebearing sand reservoirs in Holes GC955-H and WR313-H are highly anisotropic due to varying saturations of gas hydrate forming in thin layers within larger sand units.

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Workflow to Automatically Update Geological Models during Well Placement with High Angle and Horizontal Well Log Interpretation Results

et al. 2013

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We present a novel methodology for integration of high-angle/horizontal (HA/HZ) well data into 3D geomodels as a natural extension to well placement workflows. Log interpretation, typically done in 2D cross-sections, is based on 1-D automated inversion, yielding near-wellbore reservoir structure and properties. 2D cross-section, updated by inversion and further refined using 2D/3D modeling, is subsequently retrofitted into the geomodel so as to minimally perturb the original topology. Changes in positions/dips/azimuths of boundaries and faults, cell properties, and further local grid refinements are applied automatically. The updated geomodel honors high-resolution logs and low-resolution seismic/nearby wells data. We demonstrate this on a typical real-time well placement scenario. Electromagnetic log interpretation codes are integrated as a high performance computing (HPC) Web service into a geosteering/model update workflow. As the initial model, we use 3D geomodel constructed from seismic/vertical well data. A "curtain" cross-section is extracted, edited based on 1D inversion, and further refined to match HA/HZ logs through 2D and 3D forward modeling, by changing properties/dips/layer thicknesses /fault positions, while preserving the original topology. Then, updated node coordinates and cell properties of the affected pillar grid region are calculated to optimally retrofit the changed 2D cross-section into the grid. These changes are then automatically applied to the 3D model. For quality control, we recompute the 2D cross-section from the refined geomodel. Ultimately, we arrive at the geomodel that honors both seismic and resistivity well-log data. The combination, in a single workflow, of physics-based log modeling codes, Services-Oriented Architecture, HPC framework, and the solver to optimally retrofit 2D cross-sections into 3D models, creates a qualitatively new opportunity for well placement engineers. This integrated workflow (1) maximizes the value of deep directional resistivity well-logs and real-time well placement interpretation by incorporating them into the source of data for building geomodels; (2) radically speeds up the model refinement loop by automatically calculating and applying the modifications to 3D reservoir model; (3) enables geoscientists to directly refine geomodels while geosteering. The latter has not been a standard practice, hindered by challenges of scale difference between geomodels and well-logs and lack of availability of efficient modeling codes.

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Modeling and Inversion of Geophysical Well Logging Tool Responses in a Service-Oriented High Performance Computing Architecture

Cited by 3 publications

References 6 publications

Simulating Sonic Scanner responses in an interactive Web-based High Performance Computing environment

Simulating Sonic Scanner responses in an interactive Web-based High Performance Computing environment

Electrical anisotropy of gas hydrate-bearing sand reservoirs in the Gulf of Mexico

Workflow to Automatically Update Geological Models during Well Placement with High Angle and Horizontal Well Log Interpretation Results

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