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10 Results Found

  • Article
  • Open Access
1 Citations
1,396 Views
27 Pages

Intelligent Kick Warning Model Based on Machine Learning

  • Changsheng Li,
  • Zhaopeng Zhu,
  • Yueqi Cui,
  • Haobo Wang,
  • Zhengming Xu,
  • Shiming Duan and
  • Mengmeng Zhou

7 July 2025

With the expansion of oil and gas exploration and development to complex oil and gas resource areas such as deep and ultra-deep formation onshore and offshore, the kick is one of the high drilling risks, and timely and accurate early kick detection i...

  • Article
  • Open Access
9 Citations
2,296 Views
13 Pages

Early Gas Kick Warning Based on Temporal Autoencoder

  • Zhaopeng Zhu,
  • Detao Zhou,
  • Donghan Yang,
  • Xianzhi Song,
  • Mengmeng Zhou,
  • Chengkai Zhang,
  • Shiming Duan and
  • Lin Zhu

9 June 2023

The timing of the data is not taken into account by the majority of risk warnings today. However, identifying temporal fluctuations in data, which is a vital method for detecting risk, is neglected by the majority of intelligent gas kick warning mode...

  • Article
  • Open Access
1 Citations
992 Views
26 Pages

Image-Based Deep Learning Approach for Drilling Kick Risk Prediction

  • Wei Liu,
  • Yuansen Wei,
  • Jiasheng Fu,
  • Qihao Li,
  • Yi Zou,
  • Tao Pan and
  • Zhaopeng Zhu

13 October 2025

As oil and gas exploration and development advance into deep and ultra-deep areas, kick accidents are becoming more frequent during drilling operations, posing a serious threat to construction safety. Traditional kick monitoring methods are limited i...

  • Article
  • Open Access
9 Citations
2,077 Views
11 Pages

Kick Prediction Method Based on Artificial Neural Network Model

  • Yulai Zhao,
  • Zhiqiang Huang,
  • Fubin Xin,
  • Guilin Qi and
  • Hao Huang

15 August 2022

Kick is one of the most important drilling problems, and because its occurrence makes drilling engineering extremely complex, it is essential to predict the possibility of kick as soon as possible. In this study, k-means clustering was combined with...

  • Article
  • Open Access
1,308 Views
26 Pages

Intelligent Micro-Kick Detection Using a Multi-Head Self-Attention Network

  • Dezhi Zhang,
  • Weifeng Sun,
  • Yongshou Dai,
  • Dongyue Wang,
  • Yanliang Guo and
  • Chentao Gong

8 February 2025

Accurate micro-kick detection is crucial for blowout accident preventions. The more drilling parameters that change due to kicks, the more accurate the warning results become. However, when the micro-kick occurs, there is a significant time lag betwe...

  • Article
  • Open Access
2,716 Views
14 Pages

24 October 2023

High pressures during drilling with the aim to obtain hydrocarbon formations (oil and natural gas) can cause an uncontrolled eruption. Therefore, it is necessary to look for warning signs of kicks and control the formation strength. The aim of this a...

  • Article
  • Open Access
4 Citations
2,057 Views
25 Pages

Overflow Identification and Early Warning of Managed Pressure Drilling Based on Series Fusion Data-Driven Model

  • Wei Liu,
  • Jiasheng Fu,
  • Song Deng,
  • Pengpeng Huang,
  • Yi Zou,
  • Yadong Shi and
  • Chuchu Cai

9 July 2024

Overflow is one of the complicated working conditions that often occur in the drilling process. If it is not discovered and controlled in time, it will cause gas invasion, kick, and blowout, which will bring inestimable accidents and hazards. Therefo...

  • Article
  • Open Access
2 Citations
1,974 Views
39 Pages

20 February 2025

Floods are the natural hazards that cause the most damage and affect the most people in Spain. However, the response of the population and the actions they take before, during and after the emergency can be inappropriate due to inaccurate risk percep...

  • Article
  • Open Access
1,136 Views
26 Pages

Geant4-Based Logging-While-Drilling Gamma Gas Detection for Quantitative Inversion of Downhole Gas Content

  • Xingming Wang,
  • Xiangyu Wang,
  • Qiaozhu Wang,
  • Yuanyuan Yang,
  • Xiong Han,
  • Zhipeng Xu and
  • Luqing Li

28 July 2025

Downhole kick is one of the most severe safety hazards in deep and ultra-deep well drilling operations. Traditional monitoring methods, which rely on surface flow rate and fluid level changes, are limited by their delayed response and insufficient se...

  • Article
  • Open Access
2,713 Views
25 Pages

25 June 2025

Pore pressure prediction gives drillers an early warning of potential oil and gas kicks, enabling them to adjust mud weight pre-emptively. A kick causes a delay in drilling practices, blowouts, and jeopardization of the wells. Changes in pore pressur...