Advances in Monitoring, Modeling and Control of Multiphase Flow in Artificially Lifted Wells

Topic Information

Dear Colleagues,

This Topic showcases end-to-end advances that enable reliable, efficient, and low-emission production from artificially lifted wells by integrating monitoring, modeling, and control. We welcome contributions that bridge field data, laboratory/rig experiments, mechanistic theory, computational modeling (CFD and reduced-order), and data-driven/AI methods to support real-time decision-making across ESP, rod-pump/beam-pump, PCP, jet-pump, gas-lift, plunger-lift, and hybrid systems. While centered on oil and gas, we also encourage relevant work in geothermal and subsurface fluid management (e.g., produced water/CCUS), where multiphase lift and flow assurance are critical.

Topics may include, but are not limited to, the following：

1. Monitoring and Diagnostics: Downhole/fiber-optic sensing (DTS/DAS/pressure/temperature), acoustics and magnetics, surface metering and virtual metering, sensor fusion and edge/IIoT, flow-pattern and GVF identification, sand-/water-cut monitoring, calibration and uncertainty quantification, and open datasets and benchmarks.
2. Modeling and Digital Twins: Mechanistic and transient multiphase wellbore models (slugging, flow-regime transitions), coupled reservoir–well–network simulation, CFD and surrogate/ROMs, physics-informed ML, system identification, parameter estimation, and validation under HPHT/deep/deviated conditions.
3. Control and Optimization: VSD control of ESPs, gas-lift rate allocation and network optimization, plunger-lift cycle optimization, model-predictive control and reinforcement learning, startup/deliquification strategies, anomaly detection/predictive maintenance, energy efficiency and methane/emissions reduction, and constraints from sand/wax/scale and HSE.
4. Applications and Case Studies: Field trials and pilot implementations, comparative assessments of lift technologies, software/tools and reproducible workflows, techno-economic and lifecycle assessments, and best practices and standards.

Accepted article types: Original research, reviews, perspectives, data descriptors/benchmarks, and software notes.

Dr. Jianjun Zhu
Prof. Dr. Jianli Wang
Dr. Haiwen Zhu
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Energies energies	3.2	7.3	2008	16.2 Days	CHF 2600	Submit
Geosciences geosciences	2.1	5.1	2011	23.4 Days	CHF 1800	Submit
Minerals minerals	2.2	4.4	2011	18.2 Days	CHF 2400	Submit
Sustainability sustainability	3.3	7.7	2009	19.3 Days	CHF 2400	Submit
Modelling modelling	1.5	2.2	2020	19.5 Days	CHF 1200	Submit

Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.

MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:

1. Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
2. Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
3. Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
4. Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
5. Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers