All Research Papers Published In Journal of Natural Gas Science and Engineering

Research Article
3
10.1016/j.jngse.2022.104844

Dual mechanisms of matrix shrinkage affecting permeability evolution and gas production in coal reservoirs: Theoretical analysis and numerical simulation

Nov 20, 2022
Journal of Natural Gas Science and Engineering
Tiantian Zhao + 3 more +3

Research Article
20
10.1016/j.jngse.2022.104830

Flowback rate-transient analysis with spontaneous imbibition effects

Oct 28, 2022
Journal of Natural Gas Science and Engineering
A.-L.l Benson + 1 more +1

Research Article
46
10.1016/j.jngse.2022.104811

Role of salinity in clathrate hydrate based processes

Oct 08, 2022
Journal of Natural Gas Science and Engineering
Asheesh Kumar + 5 more +5

Research Article
32
10.1016/j.jngse.2021.104369

Development status of crosslinking agent in high-temperature and pressure fracturing fluid: A review

Oct 05, 2022
Journal of Natural Gas Science and Engineering
Li Nianyin + 7 more +7

Research Article
12
10.1016/j.jngse.2022.104802

Prediction of liquid surge volumes and flow rates for gas wells using machine learning

Oct 04, 2022
Journal of Natural Gas Science and Engineering
Youngwoo Yun + 6 more +6

Liquid surge refers to an excessive liquid inflow to a slug catcher or a separator and is one of the main issues in flow assurance. The wellhead choke valves of gas wells must be adjusted to maintain the target flow rate as the reservoir pressure drops. The wellhead choke opening can be determined by conducting multiphase pipeline transient flow simulations to achieve the target flow rate and avoid liquid surges. However, it is not financially and computationally practical to conduct many multiphase transient pipeline flow simulations simultaneously for hundreds of wells. We found that flow rates and maximum liquid surge volumes for gas wells can be predicted accurately using simple machine learning models when the wellhead choke valve is adjusted. The machine learning models provided accurate predictions (R2 > 0.99) regarding flow rates and maximum liquid surge volumes for different wellhead pressure drop plans, vertical and horizontal well lengths, and current operating conditions in cases involving two real fields, the Horn River Basin (HRB) and Rakhine Basin field. The wellhead operating conditions that are appropriate for achieving the target flow rate and avoiding liquid surges can be efficiently determined using the machine learning models instead of multiphase transient pipeline flow simulators. The proposed approach also accurately estimated downhole pressures that are necessary to evaluate reservoir performances given wellhead pressures and flow rates. Lastly, we presented what features are dominant in predicting liquid surge volumes, flow rates, and downhole pressures in feature importance analyses.

Research Article
31
10.1016/j.jngse.2022.104805

Experimental study on alleviating water-blocking effect and promoting coal gas desorption by gas wettability alteration

Oct 03, 2022
Journal of Natural Gas Science and Engineering
Liang Wang + 5 more +5

Research Article
49
10.1016/j.jngse.2022.104798

Effect of wettability of shale on CO2 sequestration with enhanced gas recovery in shale reservoir: Implications from molecular dynamics simulation

Sep 20, 2022
Journal of Natural Gas Science and Engineering
Kanyuan Shi + 7 more +7

Research Article
8
10.1016/j.jngse.2022.104780

Static and dynamic alteration effect of SC-CO2 on rock pore evolution under different temperature and pressure: A comparative study

Sep 08, 2022
Journal of Natural Gas Science and Engineering
Qiyi An + 4 more +4

Research Article
17
10.1016/j.jngse.2022.104772

Geomechanical effects of natural fractures on fluid flow in a pre-salt field

Sep 06, 2022
Journal of Natural Gas Science and Engineering
Cristian Mejia + 3 more +3

Research Article
20
10.1016/j.jngse.2022.104769

Nano-CT measurement of pore-fracture evolution and diffusion transport induced by fracturing in medium-high rank coal

Aug 27, 2022
Journal of Natural Gas Science and Engineering
Qifeng Jia + 6 more +6