Assisted Geosteering while Drilling Through Machine Learning Techniques

I. Denisenko; I. Kuvaev; O. Kushmantsev; I. Uvarov

doi:10.3997/2214-4609.201901841

Assisted Geosteering while Drilling Through Machine Learning Techniques
Authors I. Denisenko¹, I. Kuvaev¹, O. Kushmantsev¹, I. Uvarov¹
View Affiliations Hide Affiliations

Affiliations: ¹ ROGII
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, Horizontal Wells 2019 Challenges and Opportunities, May 2019, Volume 2019, p.1 - 4
DOI: https://doi.org/10.3997/2214-4609.201901841

Abstract

Summary

Assisted geosteering technique allows to substantially improve the quality of the well placement for modern wells drilled in complex geological settings with high ROP. The paper shows some cases built based on the real data illustrating how this new approach can influence drilling decisions in real time.

Article metrics loading...

/content/papers/10.3997/2214-4609.201901841

2019-05-27

2024-04-20

From This Site

/content/papers/10.3997/2214-4609.201901841

dcterms_title,dcterms_subject,pub_keyword

-contentType:Journal -contentType:Contributor -contentType:Concept -contentType:Institution

10

5

Full text loading...

References

StockhausenE., PetersJ.
. Flexible Well-path Planning for Horizontal and Extended-reach Wells. AAPG Methods in Exploration No.14, p227–248, 2003
[Google Scholar]
RayaieyamcheeM., BratvoldR.
. A Decision Analytic Framework for Autonomous Geosteering. SPE 135416, 2010
[Google Scholar]
OmeragicD., PolyakovV., ShettyS., HabashyT., FrugsrudT. Livar
. Workflow to Automatically Update Geological Models during Well Placement with High Angle and Horizontal Well Log Interpretation Results. SPE 163703, 2013
[Google Scholar]

http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201901841

Assisted Geosteering while Drilling Through Machine Learning Techniques

Conference Proceedings 2019, 1 (2019); https://doi.org/10.3997/2214-4609.201901841

/content/papers/10.3997/2214-4609.201901841

Data & Media loading...

Most Cited This Month Most Cited RSS feed

- The natural combination of full and image‐based waveform inversion
  
  Authors Tariq Alkhalifah and Zedong Wu
- Poststack diffraction imaging using reverse‐time migration
  
  Authors Ilya Silvestrov, Reda Baina and Evgeny Landa
- Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks
  
  Authors Luanxiao Zhao, Qiuliang Yao, De‐hua Han, Fuyong Yan and Mosab Nasser
- Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis
  
  Authors M.I. Protasov, G.V. Reshetova and V.A. Tcheverda
- Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture
  
  Authors Seiji Nakagawa, Shinichiro Nakashima and Valeri A. Korneev
More Less

Assisted Geosteering while Drilling Through Machine Learning Techniques

Abstract

From This Site

Most Read This Month

Most Cited This Month Most Cited RSS feed

The natural combination of full and image‐based waveform inversion

Poststack diffraction imaging using reverse‐time migration

Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis

Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture