Drilling: Micro Dogleg Detection with Continuous Inclination Measurements and Advanced BHA Modeling

Speaker Stéphane Menand
Stéphane Menand is the President of DrillScan US Inc, based in Houston. Previously, he held a research position at Mines ParisTech university. He has 18 years of experience in the Oil&Gas industry, mainly as an R&D project manager in drilling engineering, more specifically in directional drilling, drillstring mechanics (torque, drag, and buckling), drilling ...

Stéphane Menand is the President of DrillScan US Inc, based in Houston. Previously, he held a research position at Mines ParisTech university. He has 18 years of experience in the Oil&Gas industry, mainly as an R&D project manager in drilling engineering, more specifically in directional drilling, drillstring mechanics (torque, drag, and buckling), drilling dynamics and drill­bit performance. Menand has authored several SPE and other technical papers (25+), patents, and he earned a PhD degree in drilling engineering from Mines ParisTech. Menand serves on the Journal of Petroleum Technology Editorial Committee and SPE Drilling and Completions Journal (Associate Editor).

Full Description

Micro doglegs are a natural effect of any vertical or directional well that can explain a wide variety of down hole problems, from additional torque and drag to an inability to run completions. These doglegs are inherent to the rock drilling process and can generate borehole spiraling in vertical sections or slide­rotary pattern when using steerable mud motor in horizontal sections. Standard surveying every 95ft or so cannot detect these micro doglegs and only gives a partial look at the actual well path. This presentation will show the results of a case study in unconventional wells where BHA modeling and continuous inclination measurements were compared to identify the slide rotary pattern produced by the steerable motor and its associated micro dog legs.

A trajectory prediction model able to calculate the inclination and azimuth each foot or so will be presented. Using standard surveys, bottom hole assembly (BHA) data and steering parameters, the model is able to estimate micro dog legs between 2 surveys. In the demonstrated case, a slick motor assembly was used to drill a horizontal well in a single run. The predicted trajectory was then compared to actual continuous inclination data gathered by the measurement while drilling tool during drilling and showed a good match between the predicted trajectory and the actual drilled trajectory. Transitions between sliding and rotating modes are highlighted by micro doglegs and downhole forces, such as bending moment close to the bit, are well reproduced by the model. This new methodology combining downhole data measurements with drill string modeling analysis highlights the potential for drilling optimization and wellbore placement. Having a better definition of the well path is very critical for torque and drag analysis and wellbore placement.

Organizer Tom Wick, Fieldwick2@gmail.com, 713-806-2631

When?

Wed, Oct. 12, 2016
11:30 a.m. - 1 p.m. US/Central

How Much?

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Where?

PETROLEUM CLUB, 35th Floor, Wyatt Aramco Room TOTAL Plaza Building
1201 LOUISIANA STREET
Houston, Texas 77002

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