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Processes
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Innovative Drilling and Extraction Techniques for the Future of Oil...
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Innovative Drilling and Extraction Techniques for the Future of Oil and Gas

A Special Issue of Processes (ISSN 2227-9717) belonging to the section "Energy Systems".

Deadline for manuscript submissions: 10 March 2027 | Viewed by 4117

Editor

Prof. Dr. Jialin Tian

E-Mail Website
Guest Editor
School of Mechanical Engineering, Southwest Petroleum University, Chengdu 610500, China
Interests: dynamics and control; modern design of oil and gas equipment; underground tools and drill bit technology; underground testing and intelligent control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Advances in modern oil and gas technology are transforming the industry through four key areas: intelligent automation, environmental protection, cost-effectiveness, and flexible solutions. By combining artificial intelligence and robotic systems, drilling equipment relies on real-time data analysis to improve accuracy and predict maintenance needs. Meanwhile, strategies to combat climate change are reducing carbon emissions through better monitoring and integration with renewable energy sources. Advances in materials and engineering methods are helping to utilize resources more efficiently, increasing production while reducing environmental impact. Collaboration across industries is also creating adaptable technologies that work together to build stronger energy systems, which balance economic needs with environmental protection in the current changing world.

This Special Issue, titled "Innovative Drilling and Extraction Techniques for the Future of Oil and Gas", seeks high-quality works focusing on cutting-edge advancements in exploration and production. Topics include, but are not limited to, the following:

  • Intelligent drilling technology for complex downhole challenges;
  • Efficient solutions for downhole drilling;
  • Design, analysis, control, and optimization in oil and gas extraction;
  • Simulation techniques, software, algorithms, or other tools for modeling and simulation, or other.

Thanks and I hope you consider participating in this Special Issue.

Prof. Dr. Jialin Tian
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • drilling
  • extraction
  • optimization
  • energy
  • process systems engineering

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (5 papers)

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Research

26 pages, 5226 KB  
Article
Study on the Axial Vibration Dynamics of Drill Rod Systems in Long-Reach Directional Drilling in Underground Coal Mines
by Yinglin Yang, Meng Li, Baoyong Yan, Zeping Chen, Yong Luo, Haili Yang and Zegang Sun
Processes 2026, 14(16), 2634; https://doi.org/10.3390/pr14162634 - 18 Aug 2026
Viewed by 312
Abstract
In response to issues such as axial vibration, attenuation of drilling pressure transmission and increased impact loads on components near the drill bit that frequently occur during long-distance drilling in near-horizontal directional boreholes in underground coal mines, a multi-degree-of-freedom axial vibration model for [...] Read more.
In response to issues such as axial vibration, attenuation of drilling pressure transmission and increased impact loads on components near the drill bit that frequently occur during long-distance drilling in near-horizontal directional boreholes in underground coal mines, a multi-degree-of-freedom axial vibration model for directional long-hole drill-string systems has been established based on structural and stress analysis of the drill-string system. The model accounts for borehole-wall friction, buoyancy correction, self-weight, Rayleigh damping, drilling pressure input, and the velocity interaction between the drill bit and the coal–rock formation, and employs numerical integration to solve for the displacement, velocity, and spectral response of the drill bit and the pulse probe. The results indicate that an increase in the friction coefficient widens the vibration envelope, whilst the principal frequencies remain concentrated at approximately 5 Hz and its harmonics. When the drilling pressure is increased from 80 kN to 110 kN, the response increases gradually, and under high-pressure (120 kN) and heavy-duty drilling tool combinations, the displacement and velocity are significantly amplified; when the drill-string length was increased from 400 m to 550 m, the system’s response shifted from a relatively regular periodic response to a low-frequency, multi-peak response with amplitude modulation. The velocity response of the pulse probe was generally higher than that of the drill bit, indicating that it is a component sensitive to axial impacts near the drill bit. The research findings provide a theoretical basis for optimising drilling pressure, controlling frictional resistance and designing vibration-damping drill-string configurations for long directional boreholes in coal mines. Full article
(This article belongs to the Special Issue Innovative Drilling and Extraction Techniques for the Future of Oil and Gas)
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14 pages, 5030 KB  
Article
Optimization of Lithology Identification and Formation Parameter Prediction Algorithms Based on Machine Learning
by Junjie He, Qian Li, Xuyong Liu, Hehong Deng, Tongyi Li and Siwei Wei
Processes 2026, 14(11), 1793; https://doi.org/10.3390/pr14111793 - 30 May 2026
Viewed by 355
Abstract
(Objective) To improve the accuracy and efficiency of lithology identification and formation parameter prediction during drilling, the study used drilling parameter data and implemented SVM, XGBoost, random forest, LightGBM and an ensemble of five algorithms for comparative experiments under baseline, noise interference (10% [...] Read more.
(Objective) To improve the accuracy and efficiency of lithology identification and formation parameter prediction during drilling, the study used drilling parameter data and implemented SVM, XGBoost, random forest, LightGBM and an ensemble of five algorithms for comparative experiments under baseline, noise interference (10% and 20% noise levels) and data imbalance scenarios. (Results) In lithology identification, the stacking ensemble achieved accuracies of 86.80% and 83.10% under 10% and 20% noise scenarios respectively. The accuracy of the random forest algorithm was 91.15% for the baseline scenario, and for the imbalanced scenarios (10% and 5%), the accuracies were 88.9% and 88.1%, respectively. In formation parameter prediction, random forest achieved mean absolute errors (MAEs) of 3.45, 0.0019, 0.0008 and 0.0004 for seismic velocity, pore pressure, fracture pressure and overburden pressure in the baseline scenario and performed best under noise and imbalanced data conditions. (Conclusions) An adaptive hybrid model was ultimately established: stacking ensemble is used for lithology prediction in noisy environments, while random forest is used for lithology prediction in non-noisy environments and for formation parameter prediction across all environments. Full article
(This article belongs to the Special Issue Innovative Drilling and Extraction Techniques for the Future of Oil and Gas)
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21 pages, 21056 KB  
Article
Optimization of Limit Drilling Parameters for High-Inclination Wells in the Bohai Sea Based on Drillstring Dynamics
by Baosheng Liu, Qianhua Liao, Lei Zhang, Yuchen Zhang, Guowei Zhu, Guohua Wang, Qiang Zheng and Yanwei Sun
Processes 2026, 14(10), 1544; https://doi.org/10.3390/pr14101544 - 11 May 2026
Viewed by 529
Abstract
With continued expansion of offshore oil and gas development, the number of high-inclination wells has increased rapidly. During drilling of such wells, vibration transmission from the bottom drillstring to the wellhead is significantly attenuated. Therefore, even when severe vibration occurs at the bit, [...] Read more.
With continued expansion of offshore oil and gas development, the number of high-inclination wells has increased rapidly. During drilling of such wells, vibration transmission from the bottom drillstring to the wellhead is significantly attenuated. Therefore, even when severe vibration occurs at the bit, surface monitoring may not accurately reflect downhole conditions. To analyze axial and lateral vibration behavior, this study considers drillstring–wellbore contact and bit–formation interaction. Based on the Lagrange equation and the S–N fatigue curve, a dynamic model of the drillstring in offshore high-inclination wells is developed using the beam element method. A dynamic safety evaluation model is then constructed using the calculated dynamic characteristics, forming a mechanical analysis and optimization approach for drillstrings in these wells. The technique was applied in a branch well in the Bohai Oilfield. Drillstring vibration under different wellbore trajectories and drilling parameters was examined, and limit drilling parameters were selected through fatigue life analysis. The recommended configuration includes 24 drill collars, a weight on bit of 100 kN, and a rotation speed of 60 r/min. These optimization guidelines support improved drilling efficiency and help ensure drillstring safety in offshore high-inclination well applications. Full article
(This article belongs to the Special Issue Innovative Drilling and Extraction Techniques for the Future of Oil and Gas)
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14 pages, 3415 KB  
Article
Drilling Performance Experiment and Working Load Modeling Calculation of Diamond Coring Bit
by Jianlin Yao, Bin Liu, Kunpeng Yao and Haitao Ren
Processes 2026, 14(2), 267; https://doi.org/10.3390/pr14020267 - 12 Jan 2026
Viewed by 1077
Abstract
Diamond coring bits exhibit stable rock-breaking and coring processes as well as a long service life. However, when drilling in complex and challenging formations are characterized by high hardness, strong plasticity, and high abrasiveness, issues such as low rock-breaking efficiency, rapid failure, and [...] Read more.
Diamond coring bits exhibit stable rock-breaking and coring processes as well as a long service life. However, when drilling in complex and challenging formations are characterized by high hardness, strong plasticity, and high abrasiveness, issues such as low rock-breaking efficiency, rapid failure, and shortened service life frequently occur. To prevent premature bit failure and enhance rock-breaking efficiency, this study investigated the effects of drilling pressure and rotational speed on rock-breaking performance through bench-scale experiments using typical rock samples. A total of 15 experimental groups were included in this study, with one independent trial performed for each group. ROP is calculated as the ratio of effective drilling depth to time consumed, and MSE is derived based on axial force, torque, and rock-breaking volume. The experimental results indicated that (1) sandstone is more sensitive to rotational speed, whereas limestone and dolomite are more sensitive to drilling pressure; (2) the minimum mechanical specific energy (MSE) of sandstone was achieved at a drilling pressure of 15 kN and rotational speed of 50 r/min; (3) limestone exhibited the lowest MSE at 10 kN drilling pressure and 50 r/min rotational speed; and (4) dolomite showed the minimum energy consumption at 10 kN drilling pressure and 25 r/min rotational speed. On this basis, this paper establishes a cutting mechanics model for single-crystal diamond and a working load calculation model for the entire bit, respectively. The cutting mechanics model for single-crystal diamond is re-established based on Hertzian contact theory and elastic-plastic deformation theory. The findings of this study are expected to provide a working load calculation method for diamond coring bits in typical complex and challenging drilling formations and offer technical support for the design of coring bit cutting structures and the development of customized new products. It should be noted that the conclusions of this study are limited to the experimental parameter range (drilling pressure: 5–15 kN; rotational speed: 25–80 r/min), and their applicability under higher load conditions requires further verification. Full article
(This article belongs to the Special Issue Innovative Drilling and Extraction Techniques for the Future of Oil and Gas)
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21 pages, 4703 KB  
Article
Nonlinear Dynamics and Stick-Slip Suppression in a Drill String System Under Harmonic Excitation
by Siqi Li, Zhuo Chen, Yingcao Zhou, Mingyu Qin, Ye Yuan and Zihao Guan
Processes 2026, 14(1), 93; https://doi.org/10.3390/pr14010093 - 26 Dec 2025
Cited by 1 | Viewed by 845
Abstract
Axial harmonic excitation is an emerging method for enhancing drilling speed, yet its influence on the torsional dynamics of a drill string remains unclear. To investigate these effects, this study establishes a single-degree-of-freedom (SDOF) nonlinear torsional dynamic model capable of coupling axial harmonic [...] Read more.
Axial harmonic excitation is an emerging method for enhancing drilling speed, yet its influence on the torsional dynamics of a drill string remains unclear. To investigate these effects, this study establishes a single-degree-of-freedom (SDOF) nonlinear torsional dynamic model capable of coupling axial harmonic excitation. The model, based on Stribeck friction theory, describes the interaction by coupling the axial harmonic load with the torsional dynamic equation. After non-dimensionalizing the model, the influence patterns of static load amplitude, dynamic load amplitude, and excitation frequency on the system’s dynamics are systematically investigated. The results show that increasing the static load amplitude aggravates stick-slip vibrations, whereas increasing the dynamic load amplitude is largely ineffective for suppression and may even induce complex motions. In contrast, adjusting the excitation frequency can suppress and even eliminate stick-slip vibrations, allowing the system to achieve stable, continuous rotation. Furthermore, an interaction effect exists between the static load amplitude and the excitation frequency; at any given frequency, the Percentage of Sticking Time (PST) increases as the static load amplitude grows. This study also reveals the non-monotonic nature of the frequency’s suppression effect on vibration. These findings demonstrate that frequency optimization is the fundamental strategy for vibration suppression, requiring the dynamic load frequency to be adjusted to a specific range based on the actual weight on bit (WOB) in drilling operations. This research provides not only a deep mechanistic understanding of the drill string’s nonlinear dynamics under complex excitation but also a key theoretical basis for designing vibration suppression strategies in advanced drilling technologies. Full article
(This article belongs to the Special Issue Innovative Drilling and Extraction Techniques for the Future of Oil and Gas)
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