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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Kumar, Arvind
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Publications (15/15 displayed)
- 2024An Innovative and Tailor Made Stress Testing Workflow for CCS Formations
- 2023Cosmetic Testing Equipment: Device and Types of Equipment for Dermatological Evaluation for Women’s Skin
- 2023A Fit-For-Purpose Workflow for In-Situ Stress Characterization in Carbon Capture and Storage Formations
- 2023A Novel Integration of Advanced Acoustic Geomechanics and Reservoir Micro Fracturing Techniques for Refined Stress Characterization in Carbon Capture and Storage Formationscitations
- 2021Enhanced gas sensing response for 2D α-MoO3 layers: thickness-dependent changes in defect concentration, surface oxygen adsorption, and metal-metal oxide contactcitations
- 2019Utilizing Advanced Logs for Flow Unit Classification in Vertical Interference Test Modelingcitations
- 2013The Coupling of Macrosegregation With Grain Nucleation, Growth and Motion in DC Cast Aluminum Alloy Ingotscitations
- 2012Experimental and Numerical Studies on the Influence of Hot Top Conditions on the Macrosegregation in an Industrial Steel Ingot
- 2012Influence of Discretization of Permeability Term and Mesh Size on the Prediction of Channel Segregationscitations
- 2012Macrosegregation prediction in a 65 ton steel ingot
- 2012Numerical study of the impact of inoculant and grain transport on macrosegregation and microstructure formation during solidification of an Al-22%Cu alloycitations
- 2011A numerical benchmark on the prediction of macrosegregation in binary alloys
- 2011The Coupling of Macrosegregation With Grain Nucleation, Growth and Motion in DC Cast Aluminum Alloy Ingots
- 2011First analysis of a numerical benchmark for 2D columnar solidification of binary alloys
- 2008Photopatterned electrochromic conjugated polymer films via precursor approachcitations
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document
Utilizing Advanced Logs for Flow Unit Classification in Vertical Interference Test Modeling
Abstract
<jats:title>Abstract</jats:title><jats:p>Vertical Interference tests (VIT) are used to determine the hydraulic connectivity between the formation sand intervals. This paper showcases an innovative workflow of using the petrophysical log attributes to characterize a heterogeneous reservoir sand by making use of ANN (Artificial Neural Net) and SMLP (Stratigraphic Modified Lorentz) based rock typing techniques as well as image based advanced sand layer computation techniques.</jats:p><jats:p>Vertical interference test is either performed using a wireline formation testing tool with multiple flow probes deployed in a vertical sequence at desired depth points on the borehole wall or using a drill stem test configuration. Based on the test design, flow rates are changed using downhole pumps, which induces pressure transients in the formation. The measured pressure response is then compared with a numerical model to derive the reservoir parameters such as vertical permeability, hydraulic connectivity etc. The conventional way of model generation is to consider a section of reservoir sand as homogenous, which generally leads to over estimation or underestimation of vertical permeabilities. The technique proposed in this paper utilizes advanced logs such as image logs; magnetic resonance logs, water saturation and other advanced lithology logs to obey heterogeneity in the reservoir model by utilizing ANN/SMLP based rock-typing techniques. These rock types would be helpful in making a multi layer formation model for the VIT modeling and regression approach. The vertical interference test model is then used to determine the vertical permeability values for each of the individual rock types. The paper displays the workflow to utilize the rock type based layered formation model in vertical interference test modeling for a channel sand scenario.</jats:p>