The Developing Role of Deep Azimuthal Resistivity To Assist Optimal Well Placement in the Captain Field, UK North Sea

A New Deep Azimuthal Resistivity LWD for Optimal Well Placement and Reservoir Exploitation; Successful Validation with Saudi Aramco

10.2118/120811-ms ◽

2008 ◽

Cited By ~ 2

Author(s):

Richard Palmer ◽

Andre Silva ◽

A.A. Hajari ◽

Michael Bittar ◽

Ramez Shokeir ◽

...

Keyword(s):

Well Placement ◽

Optimal Well Placement ◽

Saudi Aramco ◽

Resistivity Lwd ◽

Azimuthal Resistivity

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Implementation of Vendor-Independent Stochastic Inversion for Improving Quality and Efficiency of Well Placement on the Field of Novatek Company

10.2118/206621-ms ◽

2021 ◽

Author(s):

Danil Andreevich Nemushchenko ◽

Pavel Vladimirovich Shpakov ◽

Petr Valerievich Bybin ◽

Kirill Viktorovich Ronzhin ◽

Mikhail Vladimirovich Sviridov

Keyword(s):

Real Time ◽

Well Placement ◽

Stochastic Inversion ◽

Mathematical Algorithm ◽

Service Companies ◽

Resistivity Data ◽

Resistivity Logging ◽

Azimuthal Resistivity ◽

Logging Tool ◽

Single Approach

Abstract The article describes the application of a new stochastic inversion of the deep-azimuthal resistivity data, independent from the tool vendor. The new model was performed on the data from several wells of the PAO «Novatek», that were drilled using deep-azimuthal resistivity tools of two service companies represented in the global oilfield services market. This technology allows to respond in a timely manner when the well approaches the boundaries with contrasting resistivity properties and to avoid exit to unproductive zones. Nowadays, the azimuthal resistivity data is the method with the highest penetration depth for the geosteering in real time. Stochastic inversion is a special mathematical algorithm based on the statistical Monte Carlo method to process the readings of resistivity while drilling in real time and provide a geoelectrical model for making informed decisions when placing horizontal and deviated wells. Until recently, there was no unified approach to calculate stochastic inversion, which allows to perform calculations for various tools. Deep-azimuthal resistivity logging tool vendors have developed their own approaches. This article presents a method for calculating stochastic inversion. This approach was never applied for this kind of azimuthal resistivity data. Additionally, it does not depend on the tool vendor, therefore, allows to compare the data from various tools using a single approach.

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