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Lee Ming Xiang
Lee Ming Xiang
在 slb.com 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Application of Simultaneous Inversion Characterizing Reservoir Properties in X Field, Sabah Basin
LM Xiang, LA Lubis
IOP Conference Series: Earth and Environmental Science 88 (1), 012022, 2017
52017
Unsupervised Multitask Learning for Oil and Gas Language Models with Limited Resources
M Marlot, DN Srivastava, FK Wong, MX Lee
Abu Dhabi International Petroleum Exhibition and Conference, D021S065R005, 2023
42023
Retrieving Operation Insights with GenAI LLM: Comparative Analysis and Workflow Enhancement
MX Lee, Z Wang
Abu Dhabi International Petroleum Exhibition and Conference, D011S020R004, 2024
2024
Generative Artificial Intelligence based Geomechanical Risk ExtractionGenerative Artificial Intelligence based Geomechanical Risk Extraction
MX Lee, SA Hassan, Xavier
US Patent App. IS24.1196-US-PS P, 2024
2024
AI Approach for Drilling Operation Insights using GenAI LLM
MX Lee, Z Wang
US Patent App. IS24.0372-US-PS P, 2024
2024
Data-Driven Optimization for Rock Physics Modelling Assisted by Machine Learning
MX Lee, Y Kozlov
MY Patent MY PI2,024,001,424, 2024
2024
Optimizing Performance in Big Data Handling for Enhanced Data Analytics
MX Lee, A Shariff
EAGE Workshop on Data Science-From Fundamentals to Opportunities 2023 (1), 1-3, 2023
2023
A Survey of Natural Language Processing in Oil and Gas: Opportunities and Challenges
M Marlot, MX Lee
EAGE Workshop on Data Science-From Fundamentals to Opportunities 2023 (1), 1-3, 2023
2023
Unlocking Value from Text: Visualizing Insights with Natural Language Processing in Unstructured Oil and Gas Reports
M Marlot, MX Lee, AIB Muhammad Adib, P Kumar Tellapaneni, ...
SPE Asia Pacific Oil and Gas Conference and Exhibition, D032S008R010, 2023
2023
Information Retrieval from Oil and Gas Unstructured Data with Contextualized Framework
MX Lee, M Marlot
Third EAGE Digitalization Conference and Exhibition 2023 (1), 1-5, 2023
2023
Carbon Dioxide Emission Monitoring Based on Prediction of Gas Fuel Rate using Machine Learning
MX Lee
EAGE Conference on Digital Innovation for a Sustainable Future 2022 (1), 1-5, 2022
2022
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