1-14 of 14
Bin Dai
Close
Save search
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Proceedings Papers

Auto-Navigation on Pressure and Sampling Location in Wireline and LWD: Big Data Challenges and Solutions

Mehdi Alipour K, Bin Dai, Jimmy Price, Christopher Michael Jones, Darren Gascooke, Anthony VanZuilekom, Hoda Tahani, Fahad Ahmed, Farrukh Hamza, Radompon Sungkorn, Cameron Rekully
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0092
DOI: https://doi.org/10.30632/SPWLA-2021-0092
Add To Cart
View Paper titled, Auto-Navigation on Pressure and Sampling Location in Wireline and LWD: Big Data Challenges and Solutions
Open the PDF for Auto-Navigation on Pressure and Sampling Location in Wireline and LWD: Big Data Challenges and Solutions in another window
Add to Citation Manager
Proceedings Papers

Compressive Sensing Based Optical Spectrometer for Downhole Fluid Analysis

Bin Dai, Christopher Jones, Jimmy Price, Darren Gascooke, Anthony van Zuilekom
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0112
DOI: https://doi.org/10.30632/SPWLA-2021-0112
Add To Cart
View Paper titled, Compressive Sensing Based Optical Spectrometer for Downhole Fluid Analysis
Open the PDF for Compressive Sensing Based Optical Spectrometer for Downhole Fluid Analysis in another window
Add to Citation Manager
Proceedings Papers

Method for Predicting Formation Fluid Contamination from Pump-Out Data and Formation Properties Using Machine Learning

Peter Olapade, Bin Dai, Christopher Jones, Anthony Van Zuilekom
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5086
DOI: https://doi.org/10.30632/SPWLA-5086
Add To Cart
View Paper titled, Method for Predicting Formation Fluid Contamination from Pump-Out Data and Formation Properties Using Machine Learning
Open the PDF for Method for Predicting Formation Fluid Contamination from Pump-Out Data and Formation Properties Using Machine Learning in another window
Add to Citation Manager
Proceedings Papers

Digital Sampling: Multivariate Pattern Recognition, Machine Learning, and Equation of State. A Real-Time Approach to Evaluate Clean Formation-Fluid Properties and Mud-Filtrate Contamination

Bin Dai, Cameron Rekully, Christopher Jones, Tony Van Zuilekom
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5025
DOI: https://doi.org/10.30632/SPWLA-5025
Add To Cart
View Paper titled, Digital Sampling: Multivariate Pattern Recognition, Machine Learning, and Equation of State. A Real-Time Approach to Evaluate Clean Formation-Fluid Properties and Mud-Filtrate Contamination
Open the PDF for Digital Sampling: Multivariate Pattern Recognition, Machine Learning, and Equation of State. A Real-Time Approach to Evaluate Clean Formation-Fluid Properties and Mud-Filtrate Contamination in another window
Add to Citation Manager
Proceedings Papers

Innovative Formation Tester Sampling Procedures for Carbon Dioxide and Other Reactive Components

Ralph Piazza, Alexandre Vieira, Luiz Alexandre Sacorague, Christopher Jones, Bin Dai, Megan Pearl, Helen Aguiar
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5053
DOI: https://doi.org/10.30632/SPWLA-5053
Add To Cart
View Paper titled, Innovative Formation Tester Sampling Procedures for Carbon Dioxide and Other Reactive Components
Open the PDF for Innovative Formation Tester Sampling Procedures for Carbon Dioxide and Other Reactive Components in another window
Add to Citation Manager
Proceedings Papers

Downhole Signal Compression and Surface Reconstruction Based on Dictionary Machine Learning

Jian Li, Bin Dai, Christopher M. Jones, Etienne M. Samson, Darren Gascooke
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5088
DOI: https://doi.org/10.30632/SPWLA-5088
Add To Cart
View Paper titled, Downhole Signal Compression and Surface Reconstruction Based on Dictionary Machine Learning
Open the PDF for Downhole Signal Compression and Surface Reconstruction Based on Dictionary Machine Learning in another window
Add to Citation Manager
Proceedings Papers

High-Resolution Spectral Reconstruction: Method and Applications for Contamination Measurement, Digital Sampling, and Continuity Assessment

Christopher Michael Jones, Yngve B. Johansen, Artur Kotwicki, Cameron Rekully, Bin Dai, Bob Engelman, Anthony Van Zuilekom
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5054
DOI: https://doi.org/10.30632/SPWLA-5054
Add To Cart
View Paper titled, High-Resolution Spectral Reconstruction: Method and Applications for Contamination Measurement, Digital Sampling, and Continuity Assessment
Open the PDF for High-Resolution Spectral Reconstruction: Method and Applications for Contamination Measurement, Digital Sampling, and Continuity Assessment in another window
Add to Citation Manager
Proceedings Papers

A New Method to Derive Contamination in Formation Tester Samples Based on the Reaction of Caustic Filtrate Components with Carbon Dioxide

Ralph Piazza, Alexandre Vieira, Luiz Alexandre Sacorague, Christopher Jones, Bin Dai, Megan Pearl, Helen Aguiar
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5091
DOI: https://doi.org/10.30632/SPWLA-5091
Add To Cart
View Paper titled, A New Method to Derive Contamination in Formation Tester Samples Based on the Reaction of Caustic Filtrate Components with Carbon Dioxide
Open the PDF for A New Method to Derive Contamination in Formation Tester Samples Based on the Reaction of Caustic Filtrate Components with Carbon Dioxide in another window
Add to Citation Manager
Proceedings Papers

Auto-Navigation of Optimal Formation Pressure Testing Locations by Machine Learning Methods

Bin Dai, Christopher Jones, Jimmy Price, Tony van Zuilekom
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-RRRR
DOI: https://doi.org/10.30632/T60ALS-2019_RRRR
Add To Cart
View Paper titled, Auto-Navigation of Optimal Formation Pressure Testing Locations by Machine Learning Methods
Open the PDF for Auto-Navigation of Optimal Formation Pressure Testing Locations by Machine Learning Methods in another window
Add to Citation Manager
Proceedings Papers

Real-Time Downhole MID-IR Measurement of Carbon Dioxide Content

Ralph Piazza, Alexandre Vieira, Luiz Alexandre Sacorague, Christopher Jones, Bin Dai, Megan Pearl, Helen Aguiar
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-UUU
DOI: https://doi.org/10.30632/T60ALS-2019_UUU
Add To Cart
View Paper titled, Real-Time Downhole MID-IR Measurement of Carbon Dioxide Content
Open the PDF for Real-Time Downhole MID-IR Measurement of Carbon Dioxide Content in another window
Add to Citation Manager
Proceedings Papers

Direct MID-IR Optical Measurement of Synthetic Drilling Fluid Filtrate Contamination During Formation-Tester Pumpouts

Ralph Piazza, Alexandre Vieira, Luiz Alexandre Sacorague, Christopher Jones, Bin Dai, Megan Pearl, Helen Aguiar
Paper presented at the SPWLA 60th Annual Logging Symposium, June 15–19, 2019
Paper Number: SPWLA-2019-X
DOI: https://doi.org/10.30632/T60ALS-2019_X
Add To Cart
View Paper titled, Direct MID-IR Optical Measurement of Synthetic Drilling Fluid Filtrate Contamination During Formation-Tester Pumpouts
Open the PDF for Direct MID-IR Optical Measurement of Synthetic Drilling Fluid Filtrate Contamination During Formation-Tester Pumpouts in another window
Add to Citation Manager
Proceedings Papers

Predicting Reservoir Fluid Sample Contamination Using An Advanced Equation-of-State-Based Model

Peter Olapade, Mehdi Alipour Kallehbasti, Bin Dai, Christopher Jones
Paper presented at the SPWLA 59th Annual Logging Symposium, June 2–6, 2018
Paper Number: SPWLA-2018-LLLL
Add To Cart
View Paper titled, Predicting Reservoir Fluid Sample Contamination Using An Advanced Equation-of-State-Based Model
Open the PDF for Predicting Reservoir Fluid Sample Contamination Using An Advanced Equation-of-State-Based Model in another window
Add to Citation Manager
Proceedings Papers

A New Multisensor Approach to Downhole Sample Filtrate Measurement With a Wireline Formation Tester

Bin Dai, Christopher Michael Jones, Tony Van Zuilekom
Paper presented at the SPWLA 58th Annual Logging Symposium, June 17–21, 2017
Paper Number: SPWLA-2017-HHHH
Add To Cart
View Paper titled, A New Multisensor Approach to Downhole Sample Filtrate Measurement With a Wireline Formation Tester
Open the PDF for A New Multisensor Approach to Downhole Sample Filtrate Measurement With a Wireline Formation Tester in another window
Add to Citation Manager
Proceedings Papers

Measurement and use of Formation Fluid, Saturate, and Aromatic Content, With Wireline Formation Testers

Christopher Jones, Bin Dai, Dingding Chen, Tian He, Mickey Pelletier, Darren Gascooke
Paper presented at the SPWLA 56th Annual Logging Symposium, July 18–22, 2015
Paper Number: SPWLA-2015-EE
Add To Cart
View Paper titled, Measurement and use of Formation Fluid, Saturate, and Aromatic Content, With Wireline Formation Testers
Open the PDF for Measurement and use of Formation Fluid, Saturate, and Aromatic Content, With Wireline Formation Testers in another window
Add to Citation Manager

Product(s) added to cart

Go to Cart Continue Browsing
Close Modal