Offshore Geology and Operations

Speight, James G.

doi:10.1016/b978-1-85617-558-6.00002-7

Cited by 14 publications

(17 citation statements)

References 18 publications

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“…In [11,12], the importance of taking into account natural factors in the SPV operation is emphasized. Although this statement may be considered by other technical means used in the construction of mining platforms in the shelf of the seas.…”

Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

Development of the methodology of the choice of the route of work of platform supply vessels in the shelf of the seas

Akimova

Kravchenko

2018

TAPR

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Section: Research Of Existing Solutions Of the Problemmentioning

confidence: 99%

Development of the methodology of the choice of the route of work of platform supply vessels in the shelf of the seas

Akimova

Kravchenko

2018

TAPR

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“…In offshore operations, oil and gas are drained to surface platforms through production lines, or pipelines, connected to submarine wells (Speight, ). Pipe‐laying support vessels (PLSVs) are responsible for transporting, laying out, and connecting these pipelines (Serpa, ).…”

Section: Introductionmentioning

confidence: 99%

An ILS heuristic for the ship scheduling problem: application in the oil industry

CUNHA

Santos

Pessôa

et al. 2018

Int Trans Operational Res

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This paper addresses a real‐life rescheduling problem of a pipe‐laying support vessel (PLSV) fleet in charge of subsea oil well connections. The short‐term schedule of these vessels is subject to uncertainties inherent to its operations, resulting in ships idleness or delays in oil production. The objective of this study is to develop methods to support a Brazilian oil and gas company in overcoming impacts caused by operational disruptions, while reaching its planned production level. The PLSV rescheduling problem was treated as an identical parallel machine scheduling problem, where the machines represent the vessels and the jobs are the activities for the subsea well connections. We propose a mathematical programming model and a method based on the iterated local search (ILS) metaheuristic to solve the problem. This paper contributes to this by considering simultaneously setup times, machine eligibility, release dates, due dates, and machine availability. Both methods were applied on 10 instances based on real PLSV data. Taking into account an objective function that measures the operational impact on schedules, the ILS provided an average improvement above 91% in schedules when compared to the initial solution provided by the studied company. The ILS outperformed a mathematical programming model for the problem, in eight instances, within a 30‐minute execution time limit, fitting to the company process.

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“…Since 1980-90s, as a result of the widespread introduction of information technologies in the chain of production cycle, the oil and gas industry has been digitized and intellectualized. Remote monitoring, modeling and management systems are applied in the technological processes for the optimization and high security provision, and risk minimization [4,19]. Consequently, the main part of the work is carried out a distance, decision accuracy and efficiency rises, effective interaction between the functional units is provided, the maximum oil production and reduction of operation and maintenance costs, becomes possible.…”

Section: A Brief Review Of the Oil And Gas Industrymentioning

confidence: 99%

“…In the near future, the main target of the innovative development of oil and gas industry is to shift the oil and gas complex to the real-time management mode. This includes the development of high performance computing systems that realize collection of geological-mining and other data from the sensors at all the technological chain of oil and gas production and processing, and the management and analysis of large volumes of data [4].…”

Section: A Brief Review Of the Oil And Gas Industrymentioning

confidence: 99%

“…The performance of the oil and gas industry depends on the multiple technological and business processes generating large volumes of information flows [4,5]. The digital data about the oil and gas fields, exploration, drilling and production processes, marketing of oil and oil products, and the status of the oil and gas companies in the market are continuously entering into the management centers of the companies.…”

Section: Introductionmentioning

confidence: 99%

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