Ridvan Akkurt

发表

Machine Learning for Well Log Normalization

Iain Pirie, Ridvan Akkurt, Mike Miller, 2019 .

Accelerating and Enhancing Petrophysical Analysis With Machine Learning: A Case Study of an Automated System for Well Log Outlier Detection and Reconstruction

Tim Conroy, Ridvan Akkurt, David Psaila, 2018 .

Class-Based Machine Learning for Next-Generation Wellbore Data Processing and Interpretation

Po-Yen Wu, Vipin Sharma, Aria Abubakar, 2019 .

Towards Everyday-NMR: An Operator's Perspective

David G. Kersey, Ridvan Akkurt, Khalid Ahmed Zainalabedin, 2009 .

Advanced Formation Testing in OBM Using Focused Fluid Sampling for Producibility Evaluation in Mature Fields

Murat Zeybek, Ridvan Akkurt, Asif Amin, 2007 .

Nuclear magnetic resonance while drilling

Matthias Appel, Ridvan Akkurt, Prabhakar Aadireddy, 2003 .

Machine Learning Assisted Petrophysical Logs Quality Control, Editing and Reconstruction

Hussein Mustapha, Maniesh Singh, Alaa Maarouf, 2020, Day 2 Tue, November 10, 2020.

Challenges for Everyday-NMR: An Operator's Perspective

David G. Kersey, Ridvan Akkurt, Khalid Ahmed Zainalabedin, 2006 .

Collaborative Development of a Slim LWD NMR Tool: From Concept to Field Testing

Gerhard Kurz, Holger F. Thern, Asbjorn Kroken, 2009 .

Nuclear Magnetic Resonance Logging; While Drilling, Wireline and Fluid Sampling

Saleh Al-Dossary, Ridvan Akkurt, Ramez Shokeir, 2007 .

Fluid Sampling and Interpretation with the Downhole NMR Fluid Analyzer

Carl-Magnus Fransson, Ridvan Akkurt, Andrew McCarty, 2004 .

Nuclear Magnetic Resonance of Rocks: T1 vs. T2

Robert L. Kleinberg, Ridvan Akkurt, S. A. Farooqui, 1993 .

A New Direction In Wireline And Lwd Nmr

Manfred G. Prammer, Ridvan Akkurt, M. Prammer, 2002 .

Porosity Determination From NMR Log Data: The Effects of Acquisition Parameters, Noise, and Inversion

Ralf Heidler, Ridvan Akkurt, Steven F. Crary, 2007 .