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Haige Wang

Researcher at China National Petroleum Corporation

Publications -  10
Citations -  84

Haige Wang is an academic researcher from China National Petroleum Corporation. The author has contributed to research in topics: Geology & Engineering. The author has an hindex of 1, co-authored 1 publications receiving 52 citations.

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Investigation of casing deformation during hydraulic fracturing in high geo-stress shale gas play

TL;DR: In this article, the authors investigated the impact of the size of the void angles, temperature change, magnitude of the inner pressure and in-situ stress on the casing deformation in the Changning-Weiyuan shale gas play (Sichuan Basin of China).
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Geology-engineering integration to improve drilling speed and safety in ultra-deep clastic reservoirs of the Qiulitage structural belt

TL;DR: In this article , an integrated key drilling engineering technology was formed for improving the drilling speed and safety of ultra-deep wells, including well location optimization, well trajectory optimization, formation pressure prediction before drilling, stratum drillability evaluation, and bit and speed-up tool design and optimization.
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Hydration kinetics and strength retrogression mechanism of silica-cement systems in the temperature range of 110 °C–200 °C

TL;DR: In this paper , a comprehensive investigation of silica-cement hydration kinetics and engineering properties in the temperature range from 110 °C to 200 °C and pressure range from 25 MPa to 50 MPa were conducted by isothermal calorimetry, chemical shrinkage, and ultrasonic cement analyzer.
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Experimental Study on Downhole Acoustic Wave Propagation Characteristics in Curved Drill String

Qing Wang, +2 more
- 17 May 2023 - 
TL;DR: In this article , an experimental device for the sound wave propagation characteristics in the curved drill string was set up, and the results showed that the curvature of the drill string has an influence on the propagation of sound wave.
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An Artificial Intelligence Algorithm for the Real-Time Early Detection of Sticking Phenomena in Horizontal Shale Gas Wells

TL;DR: In this paper , a novel early warning method based on an artificial intelligence algorithm is proposed to overcome some of the known problems associated with existing sticking-identification technologies, which is tested against a practical case study (Southern Sichuan shale gas drilling operations).