Cuttings Bed Height Prediction in Microhole Horizontal Wells with Artificial Intelligence Models

Article Energy & Fuels

Estimation of downhole cuttings concentration from experimental data-Comparison of empirical and fuzzy logic models

Dipankar Chowdhury et al.

Summary: Proper selection of drilling parameters is crucial for maintaining a clean well and avoiding drilling problems. Cuttings transport is a complex process influenced by multiple parameters. In this study, a fuzzy logic model was developed to estimate downhole cuttings concentration and performed better than two empirical models in statistical measurements.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)

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Article Energy & Fuels

Application and development trend of artificial intelligence in petroleum exploration and development

Kuang Lichun et al.

Summary: This paper describes the research progress and application of artificial intelligence in petroleum exploration and development, covering machine learning, computer vision, and deep learning technology. The potential development directions of artificial intelligence in petroleum exploration and development include intelligent production equipment, automatic processing and interpretation, and professional software platform.

PETROLEUM EXPLORATION AND DEVELOPMENT (2021)

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Review Computer Science, Artificial Intelligence