An Aggregated Rank Removal Heuristic Based Adaptive Large Neighborhood Search for Work-over Rig Scheduling Problem

Shaji, Naveen; Sundar, C.; Jagyasi, Bhushan G.; Dutta, S. C.

doi:10.1007/978-3-030-34869-4_42

Cited by 3 publications

(4 citation statements)

References 10 publications

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“…Clay swelling is a major drilling problem and raises several other problems such as differential pipe sticking, wellbore collapse, formation damage, and above all wellbore instability . Remedial operation increases rig time expenses and drilling fluid exposure to surface and subsurface environment . However, T80ZnO improved the clay swelling inhibition behavior of an environmentally friendly WBDF thus augmenting these problems while drilling.…”

Section: Results and Discussionmentioning

confidence: 99%

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Environmental Friendliness and High Performance of Multifunctional Tween 80/ZnO-Nanoparticles-Added Water-Based Drilling Fluid: An Experimental Approach

Aftab¹,

Ali

Sahito

et al. 2020

ACS Sustainable Chem. Eng.

109

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The energy industry is exploring sustainable chemistry and engineering solutions for exploitation of shale reservoirs. Smectite-rich shale is challenging to drill with traditional water-based drilling fluid (WBDF). The objectives of this study are (i) to investigate acute toxicity of drilling fluids and (ii) to enhance the rheological properties, lubricity, and clay inhibition behavior of WBDF by adding Tween 80 (T80)/ZnO nanoparticles. Acute toxicity results revealed 100% survival rate of white leg shrimp in WBDF waste. At 0.7 g, the optimum concentration of T80ZnO, the plastic viscosity (PV) was improved by 12%; the negative surface charge of nanomaterial might have improved repulsion forces/stability and enhanced viscosity in the drilling fluids. Yield point (YP) was improved by 71%, moreover 10 min gel strength (GS) and 10 s GS were significantly increased by 32 and 54%, respectively. The metal oxide nanosolids induced heat transfer characteristics and ensured gelling and yield strength properties. Lubricity was slightly increased by 7%; the ZnO nanorods between the two sliding contact surfaces (i.e., assuming drill pipe and casing) improved lubricity. Filtrate loss (FL) volume was considerably minimized to 17 and 30% at API and high-pressure, high-temperature (HPHT) conditions, respectively; this observation could be explained by pores plugging in the filter paper. Heated clay swelling inhibition was optimized after addition of 0.6 g of T80ZnO nanoparticles to WBDF. The clay inhibition was enhanced by 9 and 17% when compared to conventional WBDF and fresh water, respectively; this progress might have attributed to the corresponding: (i) pores plugging in the clay and (ii) interparticle pores bridging between existing drilling additives and nanomaterial. The above findings identify that this drilling fluid could attain sustainable environmental and operational success while drilling into montmorillonite/smectite rich-clay and shale rock.

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Section: Results and Discussionmentioning

confidence: 99%

“…161 Remedial operation increases rig time expenses and drilling fluid exposure to surface and subsurface environment. 162 However, T80ZnO improved the clay swelling inhibition behavior of an environmentally friendly WBDF thus augmenting these problems while drilling.…”

Section: ■ Results and Discussionmentioning

confidence: 99%

Environmental Friendliness and High Performance of Multifunctional Tween 80/ZnO-Nanoparticles-Added Water-Based Drilling Fluid: An Experimental Approach

Aftab¹,

Ali

Sahito

et al. 2020

ACS Sustainable Chem. Eng.

109

View full text Add to dashboard Cite

show abstract

“…After that, several heuristics were proposed to solve the homogeneous WRRSP, such as: ILS, clustering search, and an adaptive large neighborhood search (ALNS) (Ribeiro et al, 2012b); ALNS with aggregated rank removal heuristic (ARRH), GA, and GA with VNS (GA + VNS) (Shaji et al, 2019). Of these different heuristics, the best results were obtained with ALNS from Ribeiro et al (2012b) and ARRH-based ALNS (Shaji et al, 2019).…”

Section: Workover Rig Routing and Scheduling Problemmentioning

confidence: 99%

A data-driven optimization model for the workover rig scheduling problem: Case study in an oil company

Santos

Hamacher

Oliveira

2023

Computers & Chemical Engineering

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“…In this study, the ALNS outperformed the other methods. Finally, Shaji et al (2019) proposed a new aggregated rank removal heuristic (ARRH) to the ALNS (Ribeiro et al 2012b) and compared it with other heuristics: VNS (Aloise et al 2006); GA; GA with VNS (GA+VNS) and ALNS (Ribeiro et al 2012b). These heuristics were tested in some theoretical instances in which the ARRH based ALNS outperformed the other methods.…”

Section: Workover Rig Routing and Scheduling Problemmentioning

confidence: 99%

Data-Driven Joint Chance-Constrained Optimization for the Workover Rig Scheduling Problem

SANTOS¹

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An Aggregated Rank Removal Heuristic Based Adaptive Large Neighborhood Search for Work-over Rig Scheduling Problem

Cited by 3 publications

References 10 publications

Environmental Friendliness and High Performance of Multifunctional Tween 80/ZnO-Nanoparticles-Added Water-Based Drilling Fluid: An Experimental Approach

Environmental Friendliness and High Performance of Multifunctional Tween 80/ZnO-Nanoparticles-Added Water-Based Drilling Fluid: An Experimental Approach

A data-driven optimization model for the workover rig scheduling problem: Case study in an oil company

Data-Driven Joint Chance-Constrained Optimization for the Workover Rig Scheduling Problem

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