Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jean-Michel Denichou is active.

Publication


Featured researches published by Jean-Michel Denichou.


Geophysics | 2004

A deep resistivity logging-while-drilling device for proactive geosteering

Jean Seydoux; Jacques R. Tabanou; Yves De Laet; Dzevat Omeragic; Jean-Michel Denichou; Luca Ortenzi; Marianne Iverson; Morten Fejerskov

Reading deep into the formation has always been an ojective of formation evaluation. Historically, when drilling vertical wells, reading deep involved imaging seismic reflectors with intermediate vertical seismic profile (VSP) runs to “look ahead” and to assess invasion or borehole damage with deep-resistivity devices.


Second EAGE Workshop on Geosteering & Well Placement | 2013

Enriching the Static Earth Model through a Near-wellbore Structural Modeling Workflow Combining all Horizontal Well Data

Christophe Dupuis; Jean-Michel Denichou; Frank Antonsen; Monica Vik Constable; P. Marza; R. Lepp; T. Bauch; H. Charef-Khodja; V. de Leeuw; Matthieu Irondelle; A.J. Herstad Sande; T. Rognebakke Bjørstad; E.P. Hanevik

The static earth model is the centrepiece of field development, from initial reserves evaluation to well planning to production and recovery optimization. Also, the static model is most often the main source of information into the well placement pre-job model. However, while it was always agreed that the findings of a well placement job should be used to refine the original model, up until now, enriching the static model was not offered as a mature service by the providers of geosteering solutions and interpretation. This paper and presentation introduces a new workflow combining LWD information from borehole images and deep boundary mapping services (possibly from several wells in an area) into a near-wellbore 3D structural model supporting all available data. The 3D near-wellbore structural model workflow is an important contribution to workflows closing the loop from horizontal logging and well placement back to the reservoir model update.


Archive | 2005

Methods for visualizing distances between wellbore and formation boundaries

Peiwen Xia; Jan W. Smits; Lawrence Chou; Qiming Li; Dzevat Omeragic; James F. Bristow; Paul A. Wand; Jean-Michel Denichou


Archive | 2007

Determining wellbore position within subsurface earth structures and updating models of such structures using azimuthal formation measurements

Jean-Michel Denichou; Soazig Leveque


Geophysics | 2015

Automatic inversion of deep-directional-resistivity measurements for well placement and reservoir description

Christophe Dupuis; Jean-Michel Denichou


Abu Dhabi International Petroleum Exhibition and Conference | 2015

Application of Automatic Stochastic Inversion for Multilayer Reservoir Mapping while Drilling Measurements

Cindy Dong; Christophe Dupuis; Chris Morriss; Emmanuel Legendre; Ettore Mirto; Georgi Kutiev; Jean-Michel Denichou; Mauro Gabriele Viandante; Jean Seydoux; Nicholas Bennett; Qingfeng Zhu; Xiaoyan Zhong


SPWLA 55th Annual Logging Symposium | 2014

Full 3D Deep Directional Resistivity Measurements Optimize Well Placement and Provide Reservoir-Scale Imaging While Drilling

Jean Seydoux; Emmanuel Legendre; Ettore Mirto; Christophe Dupuis; Jean-Michel Denichou; Nick Bennett; Georgi Kutiev; Mark Kuchenbecker; Chris Morriss; Libo Yang


Archive | 2012

Interactive Display of Results Obtained from the Inversion of Logging Data

Denis Heliot; Nicholas Bennett; Georgi Kutiev; Emmanuel Legandre; Roger Griffiths; Jean-Michel Denichou; Jean Seydoux; Qiming Li; Koji Ito


Offshore Technology Conference | 2003

A Deep-Resistivity Logging-While-Drilling Device for Proactive Geosteering

Jean Seydoux; Jacques R. Tabanou; Luca Ortenzi; Jean-Michel Denichou; Y. De Laet; Dzevat Omeragic; M. Iversen; Morten Fejerskov


Archive | 2012

Maximum depth of investigation of measurements in a formation

Jean-Michel Denichou

Collaboration


Dive into the Jean-Michel Denichou's collaboration.

Researchain Logo
Decentralizing Knowledge