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Featured researches published by Babak Kouchmeshky.


Volume 1A, Symposia: Advances in Fluids Engineering Education; Turbomachinery Flow Predictions and Optimization; Applications in CFD; Bio-Inspired Fluid Mechanics; Droplet-Surface Interactions; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES, and Hybrid RANS/LES Methods | 2014

Thermal Modeling of a Wireline Tool for Ultra-High Temperatures

Aritra Sur; Babak Kouchmeshky; Rajani Satti

The drive to obtain more accurate petrophysical information from deeper wells has led to the demand for operating various downhole tools at higher temperatures for longer time periods. If the borehole temperature reaches values higher than 175°C, it is considered a high temperature (HT) well. In HT wells, reliability of the electronic components of the logging tools is a major concern. One way to address the concern is through using a thermal flask to reduce the heat flow rate from the formation to the tool and evenly distribute the heat generated by the internal electronic components.Optimizing the design of the aforementioned thermal flask is very important in providing a longer operative time for the tool before the temperature of the sensitive electronic parts reaches a critical threshold. To obtain the sensitive parameters for designing the flask, the thermal transport inside the tool must be accurately modeled.In this work, high fidelity FEA and CFD-based transient thermal models are developed for thermal transport in a flask for an ultra-high temperature wireline tool. Two models with different levels of complexity are presented. The models are verified by experimental results and the physical insights obtained from them presented. The predictive capability of the models is used to provide recommendations for safe operating time for various environmental conditions which prevail in the formations. The results obtained from the models can also be used for optimizing the performance of the future generation of the tool and reducing the amount of time spent in unnecessary trip outs.Copyright


SPWLA 58th Annual Logging Symposium | 2017

Inversion of Dielectric Logging Using Mixing Model as a Regularization Function

Babak Kouchmeshky; Alberto Mezzatesta; Roberto Arro; Otto N. Fanini


Archive | 2016

Method and apparatus for inversion in dielectric logging

Babak Kouchmeshky; Rashid W. Khokhar; Hans-Martin Maurer; Wallace H. Meyer


Archive | 2014

USE OF A FRACTAL ANTENNA IN ARRAY DIELECTRIC LOGGING

Babak Kouchmeshky; Stanislav W. Forgang; Rashid W. Khokhar


Archive | 2018

DOWNHOLE ELECTROMAGNETIC ACOUSTIC TRANSDUCER SENSORS

Babak Kouchmeshky; Xiaochu Yao; Stanislav W. Forgang; Pawel J. Matuszyk; Marc Stephen Ramirez; Otto N. Fanini; Douglas J. Patterson; Vimal Shah


Offshore Technology Conference | 2017

Petro-Physically Driven Quality Control of Dielectric Logging

Babak Kouchmeshky; Otto N. Fanini


Archive | 2017

ESTIMATING PARAMETERS OF ARCHIE'S LAW AND FORMATION TEXTURE INFORMATION

Babak Kouchmeshky; Rashid W. Khokhar


Archive | 2017

ESTIMATION DES PARAMÈTRES DE LA LOI D'ARCHIE ET INFORMATIONS DE TEXTURE DE FORMATION

Babak Kouchmeshky; Rashid W. Khokhar


Archive | 2017

WHOLE-SPACE INVERSION USING PHASE CORRECTION METHOD FOR MULTI-FREQUENCY DIELECTRIC ARRAY LOGGING TOOL

Babak Kouchmeshky; Otto N. Fanini


SPE Russian Petroleum Technology Conference and Exhibition | 2016

Validating Mixing Models for Dielectric Logging

Babak Kouchmeshky; Otto N. Fanini; Marina Nikitenko

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