Optimization and Business Improvement Studies in Upstream Oil and Gas Industry

Chowdhury, Sanjib

doi:10.1002/9781119246596

Cited by 7 publications

(14 citation statements)

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“…Fire and evacuate are among the important types of emergencies that occur on offshore petroleum installations [62]. Chowdhury [8] describes various emergencies, such as fire/ blowout, evacuate, H 2 S release, and the types of alarms used on different offshore rigs. A fire may erupt due to many reasons, such as a gas release near an igniting source, or an electrical spark near a fuel line.…”

Section: The Fire and Evacuate Emergency Situationsmentioning

confidence: 99%

“…A set of FOL rules are proposed in Table 2 so that an agent recognizes these situations like the way a human counterpart recognizes them. The preconditions (antecedents of FOL rules) used here are common among experts and have been suggested in earlier studies [8,18,49,55,57,62,[64][65][66]68]. The query predicates determine the probability of recognizing alarms, having a FIRE situation, having an EVACUATE situation, and having some (unknown) situation given the evidence predicates.…”

Section: S2mentioning

confidence: 99%

“…The variability in the emergency alarm systems and indicators used at different offshore installations is a source of confusion when a real emergency occurs, especially for personnel who frequently move from one to another platform for performing special tasks. Alarm recognition is considered a major contributor to the awareness of an emergency type [8]. Different alarms mean different situations requiring a different course of actions by the personnel onboard.…”

Section: Reasoningmentioning

confidence: 99%

“…Public address (PA) announcements are also important cues for getting to know details about a developing situation [8,18,62,68]. PAs are verbal announcements with clear words detailing the situation.…”

Section: Reasoningmentioning

confidence: 99%

“…The problem of modeling SA for such agents is still another important area that has potential implications in the way agents make decisions in evolving emergencies. Chowdhury [8] explores various situations that occur on offshore rigs, platforms, and installations. The author explains how fire and evacuation situations are indicated on different platforms.…”

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confidence: 99%

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Situation awareness modeling for emergency management on offshore platforms

Danial

Smith

Khan

et al. 2019

Hum. Cent. Comput. Inf. Sci.

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IntroductionThe present work proposes a model based on Markov Logic Network (MLN) [16] for representing emergency situations involving smoke and fire on offshore petroleum platforms. The model is tested for two important situations, FIRE and EVACUATE. In the FIRE situation, fire is observed due to smoke at some place on the platform, and all workers need to muster to their primary muster station. In the EVACUATE situation, the fire is escalated so that some escape routes to the primary muster station are blocked and all personnel needs to muster at the lifeboat or alternative muster station. The purpose of this work is to have a model that can be used by a software agent so that the agent can exhibit human-like situation awareness (SA). Such agents can subsequently be used, for example, in training simulators to enrich trainees' experience by showing them various scenarios in which the agent shows recognition of different situations (to makes various decisions). A participant can learn from the agent what information is important in a given scenario for correct SA.Representing the emergency response of agents operating in a virtual environment (VE) is a challenging and active research area. Emergencies on board can arise from Abstract Situation awareness is the first and most important step in emergency management. It is a dynamic step involving evolving conditions and environments. It is an area of active research. This study presents a Markov Logic Network to model SA focusing on fire accidents and emergency evacuation. The model has been trained using empirical data obtained from case studies. The case studies involved human participants who were trained for responding to emergencies involving fire and smoke using a virtual environment. The simulated (queried) and empirical findings are reasonably consistent. The proposed model enables implementing an agent that exploits environmental cues and cognitive states to determine the type of emergency currently being faced. Considering each emergency type as a situation, the model can be used to develop a repertoire of situations for agents so that the repertoire can act as an agent's experience for later decision-making. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Section: The Fire and Evacuate Emergency Situationsmentioning

confidence: 99%

Section: S2mentioning

confidence: 99%

Section: Reasoningmentioning

confidence: 99%

Section: Reasoningmentioning

confidence: 99%

mentioning

confidence: 99%

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Situation awareness modeling for emergency management on offshore platforms

Danial

Smith

Khan

et al. 2019

Hum. Cent. Comput. Inf. Sci.

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Lifetime sensitivity analysis of FPSO operating parameters on energy consumption and overall oil production in a pre-salt oil field

Allahyarzadeh-Bidgoli

Dezan

Salviano

et al. 2019

Chemical Engineering Communications

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Facility location planning to mitigate strategic conflict in joint operations

Chowdhury

2023

JGOSS

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Purpose This paper aims to deal with a real-life strategic conflict in joint operations (JOs) for facility location decision and planning in an oil and gas field that stretches over two countries and tries to develop a basis for mitigating such conflict. Design/methodology/approach This paper develops a novel approach using integer linear programming (ILP) to determine optimal facility location considering technical, economic and environmental factors. Strategic decision-making in JOs is also influenced by business priorities of individual partner, sociopolitical issues and other covert factors. The cost-related quantitative factors are normalized using inverse normalization function as these are to be minimized, and qualitative factors that are multi-decision-making criteria are maximized, thus transforming both qualitative and quantitative factors as a single objective of maximization in ILP model. Findings The model identifies the most suitable facility location based on a wide range of factors that would provide maximum benefit in the long term, which will help decision-makers and managers. Research limitations/implications The model can be expanded incorporating other quantitative and qualitative factors such as tax incentives by the government, local bodies and government regulations. Practical implications The applicability of the model is not limited to JOs or oil/gas field, but is applicable to a wide range of sectors. Originality/value The model is transparent and based on rational and scientific basis, which would help in building consensus among the dissenting parties and aid in mitigating strategic conflict. Such type of model for mitigating strategic conflict has not been reported/used before.

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Optimization and Business Improvement Studies in Upstream Oil and Gas Industry

Cited by 7 publications

References 0 publications

Situation awareness modeling for emergency management on offshore platforms

Situation awareness modeling for emergency management on offshore platforms

Lifetime sensitivity analysis of FPSO operating parameters on energy consumption and overall oil production in a pre-salt oil field

Facility location planning to mitigate strategic conflict in joint operations

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