Intelligent early kick detection in ultra-deepwater high-temperature high-pressure (HPHT) wells based on big data technology
Title
Intelligent early kick detection in ultra-deepwater high-temperature high-pressure (HPHT) wells based on big data technology
Subject
Artificial intelligence
Big data
Offshore oil well production
Arctic engineering
Data Analytics
Well logging
Description
The gas kicks occur frequently during the ultra-deepwater high-temperature high-pressure (HPHT) exploration in the South China Sea. They can pose severe risks to well control strategies. The traditional detection method is to analyze the mud-log of dump tanks, which is not only slow but also always having a time-lag between the kick occurrence time and the kick detection time. In this work, a methodology incorporating mud-log and well-log data is proposed for real-time gas kick detection (the time needed to detect kicks is 20 seconds maximum) using artificial intelligence and data-analytics. 2019 by the International Society of Offshore and Polar Engineers (ISOPE).
1379-1384
1
Creator
Yin, Qishuai
Yang, Jin
Borujeni, Ali Takbiri
Shi, Shanshan
Sun, Ting
Yang, Yuming
Geng, Yanan
Xia, Qiang
Wu, Xiaodong
Zhao, Xin
Publisher
29th International Ocean and Polar Engineering Conference, ISOPE 2019, June 16, 2019 - June 21, 2019
Date
2019
Type
conferencePaper
Identifier
10986189
Citation
Yin, Qishuai et al., “Intelligent early kick detection in ultra-deepwater high-temperature high-pressure (HPHT) wells based on big data technology,” Lamar University Midstream Center Research, accessed May 18, 2024, https://lumc.omeka.net/items/show/28221.