Optimal Replacement Age and Maintenance Cost: A Case Study

Abstract Abandonment is considered to be the last stage in the oil gas field cycle. Oil and gas industries around the world are bounded by the necessity of creating an abandonment program which is technically sound, complied to the stringent HSE requirement and to be cost-effective. Abandonment strategies were always planned as early as during the field development plan. When there are no remaining opportunities left or no commercially viable hydrocarbon is present, the field need to be abandoned to save operating and maintenance cost. The cost associated on abandonment can often be paid to the host government periodically and can be cost recoverable once the field is ready to be abandoned. In Malaysia, some of the oil producing fields are now in the late life of production thus abandonment strategies are being studied comprehensively. The interest of this paper is to share the case study of one of a field that is in its late life of production and has wells and facilities that planned to be abandon soon. The abandonment in this field is challenging because it involves two countries, as this field is in the hydrocarbon structure that straddling two countries. Series of techno-commercial discussion were held between operators of these two countries to gain an integrated understanding of the opportunity, defining a successful outcome of the opportunity and creating an aligned plan to achieve successful abandonment campaign. Thus, this paper will discuss on technical aspects of creating a caprock model, the execution strategies of abandoning the wells and facilities and economic analysis to study whether a joint campaign between the operators from two countries yields significantly lower costs or otherwise.

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Common Electronic Platform for the Steam Turbine and Generator Controls: Upgrade Installed at the Mt. Poso Cogeneration Power Station — A Case Study

ASME 2004 Power Conference ◽

10.1115/power2004-52159 ◽

2004 ◽

Author(s):

Jerry A. Kopczynski ◽

Bill Dickson ◽

Gerhard J. Weiss

Keyword(s):

Power Plant ◽

System Integration ◽

Power Plants ◽

Open Architecture ◽

Maintenance Cost ◽

Software Platform ◽

Voltage Controller ◽

Software Platforms ◽

Electronic Hardware

The scope of modern power plant controls usually includes plant DCS, boiler control and protection, steam/gas turbine governor and protection, auxiliaries control, automatic voltage controller, automatic synchronizer and operator/engineering stations. Usually these control packages come from different manufacturers (OEM). They are typically based on various electronic hardware and software platforms. Different communication protocols often present problems during system integration; and maintenance costs of these various electronic hardware and software platforms are normally greater than that of a stand alone system. Advantages of an integrated, distributed, open architecture, digital system, (Fig. 1) which covers all the power plant needs are discussed in this paper. A common electronic hardware/ software platform allows optimization of the new constructions and upgrades, shorten delivery and commissioning time, and improve availability and safety of the new and upgraded power plants. Specific benefits of this concept are presented in the Mt. Poso controls upgrade Case Study. The common electronic hardware/ software platform installed at Mt. Poso allowed optimization of the upgrade, shortened commissioning time, improved availability, reliability and safety and reduced maintenance cost of the control systems.

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Adaptive decision support for suggesting a machine tool maintenance strategy

Journal of Quality in Maintenance Engineering ◽

10.1108/jqme-02-2017-0008 ◽

2018 ◽

Vol 24 (3) ◽

pp. 376-399 ◽

Cited By ~ 5

Author(s):

Abubaker Shagluf ◽

Simon Parkinson ◽

Andrew Peter Longstaff ◽

Simon Fletcher

Keyword(s):

Decision Support ◽

Machine Tool ◽

Cost Estimation ◽

Expert Knowledge ◽

Production Costs ◽

Maintenance Cost ◽

Maintenance Strategy ◽

Content Type ◽

Machine Tool Accuracy

Purpose The purpose of this paper is to produce a decision support aid for machine tool owners to utilise while deciding upon a maintenance strategy. Furthermore, the decision support tool is adaptive and capable of suggesting different strategies by monitoring for any change in machine tool manufacturing accuracy. Design/methodology/approach A maintenance cost estimation model is utilised within the research and development of this decision support system (DSS). An empirical-based methodology is pursued and validated through case study analysis. Findings A case study is provided where a schedule of preventative maintenance actions is produced to reduce the need for the future occurrences of reactive maintenance actions based on historical machine tool accuracy information. In the case study, a 28 per cent reduction in predicted accuracy-related expenditure is presented, equating to a saving of £14k per machine over a five year period. Research limitations/implications The emphasis on improving machine tool accuracy and reducing production costs is increasing. The presented research is pioneering in the development of a software-based tool to help reduce the requirement on domain-specific expert knowledge. Originality/value The paper presents an adaptive DSS to assist with maintenance strategy selection. This is the first of its kind and is able to suggest a preventative strategy for those undertaking only reactive maintenance. This is of value for both manufacturers and researchers alike. Manufacturers will benefit from reducing maintenance costs, and researchers will benefit from the development and application of a novel decision support technique.

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Prediction of maintenance cost for road construction equipment: a case study

Canadian Journal of Civil Engineering ◽

10.1139/cjce-2014-0500 ◽

2016 ◽

Vol 43 (5) ◽

pp. 480-492 ◽

Cited By ~ 6

Author(s):

Sharif Mohammad Bayzid ◽

Yasser Mohamed ◽

Maria Al-Hussein

Keyword(s):

Data Mining ◽

Model Development ◽

Road Construction ◽

Study Data ◽

Construction Equipment ◽

Maintenance Cost ◽

Cost Models ◽

Construction Operations ◽

Development Data

Equipment maintenance cost is significant in construction operations budgets. This study proposes a systematic approach to predict maintenance cost of road construction equipment. First, maintenance cost data over more than 10 years was collected from a partner company’s equipment management information system. Data was cleaned and analyzed to obtain a general understanding of maintenance costs trends. Next, traditional cumulative cost models and alternative data mining models were generated to predict maintenance cost based on available equipment and operation attributes. Data mining models were evaluated and validated using portions of the collected data that have not been used in model development. Data collection, analyses, modeling, and validation steps are discussed. The paper also presents the performance of different model types. Based on the case study data, regression model trees performed better than other model types with equipment work hours being the most significant parameter for predicting maintenance cost.

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Uncertainty estimation in railway track life-cycle cost: a case study from Swedish National Rail Administration

Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit ◽

10.1243/09544097jrrt235 ◽

2008 ◽

Vol 223 (3) ◽

pp. 285-293 ◽

Cited By ~ 33

Author(s):

A P Patra ◽

P Söderholm ◽

U Kumar

Keyword(s):

Life Cycle ◽

Life Cycle Cost ◽

Cost Effective ◽

Railway Track ◽

Statistical Characteristics ◽

Maintenance Cost ◽

Cost Models ◽

Effective Decision ◽

Effective Decision Support

Life-cycle cost (LCC) is used as a cost-effective decision support for maintenance of railway track infrastructure. However, a fair degree of uncertainty associated with the estimation of LCC is due to the statistical characteristics of reliability and maintainability parameters. This paper presents a methodology for estimation of uncertainty linked with LCC, by a combination of design of experiment and Monte Carlo simulation. The proposed methodology is illustrated by a case study of Banverket (Swedish National Rail Administration). The paper also includes developed maintenance cost models for track.

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Electrical Submersible Pump Design in Vertical Oil Wells

Petroleum & Petrochemical Engineering Journal ◽

10.23880/ppej-16000237 ◽

2020 ◽

Vol 4 (4) ◽

pp. 1-7

Author(s):

Gomaa S

Keyword(s):

Oil Wells ◽

Maintenance Cost ◽

Oil Well ◽

Submersible Pump ◽

Reservoir Properties ◽

Pump Design ◽

Artificial Lift ◽

Complete Study ◽

Electrical Submersible Pump

Artificial Lift is a very essential tool to increase the oil production rate or lift the oil column in the wellbore up to the surface. Artificial lift is the key in case of bottom hole pressure is not sufficient to produce oil from the reservoir to the surface. So, a complete study is carried to select the suitable type of artificial lift according to the reservoir and wellbore conditions like water production, sand production, solution gas-oil ratio, and surface area available at the surface. Besides, the maintenance cost and volume of produced oil have an essential part in the selection of the type of artificial lift tool. Artificial lift tools have several types such as Sucker Rod Pump, Gas Lift, Hydraulic Pump, Progressive Cavity Pump, Jet Pump, and Electrical Submersible Pump. All these types require specific conditions for subsurface and surface parameters to apply in oil wells. This paper will study the Electrical Submersible Pump “ESP” which is considered one of the most familiar types of artificial lifts in the whole world. Electrical Submersible Pump “ESP” is the most widely used for huge oil volumes. In contrast, ESP has high maintenance and workover cost. Finally, this paper will discuss a case study for the Electrical Submersible pump “ESP” design in an oil well. This case study includes the entire well and reservoir properties involving fluid properties to be applied using Prosper software. The results of the design model will impact oil productivity and future performance of oil well.

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Preventive maintenance of multiple components for hydraulic tension systems

Eksploatacja i Niezawodnosc - Maintenance and Reliability ◽

10.17531/ein.2021.3.9 ◽

2021 ◽

Vol 23 (3) ◽

pp. 489-497

Author(s):

Hongyan Dui ◽

Xiaoqian Zheng ◽

Qian Qian Zhao ◽

Yining Fang

Keyword(s):

Working Conditions ◽

Preventive Maintenance ◽

Conveyor Belt ◽

Tension Force ◽

Maintenance Cost ◽

Number Of Components ◽

Multiple Components ◽

Conveyor Belts ◽

The Cost

Automatically controlled hydraulic tension systems adjust the tension force of a conveyor belt under different working conditions. Failures of an automatically controlled hydraulic tension system influence the performance of conveyor belts. At present, the maintenance of automatically controlled hydraulic tension systems mainly considers the replacement of components when failures occur. Considering the maintenance cost and downtime, it is impossible to repair all the failed components to improve the hydraulic tension system. One of the key problems is selecting the most valuable components for preventive maintenance. In this paper, preventive maintenance for multiple components in a hydraulic tension system is analyzed. An index is proposed to select more reliable preventive maintenance components to replace the original ones. A case study is given to demonstrate the proposed method. When the cost budget increases, there are three different variations in the number of components for selective preventive maintenance (SPM).

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AN INTEGRATED MULTI-OBJECTIVES OPTIMIZATION APPROACH ON MODELLING PAVEMENT MAINTENANCE STRATEGIES FOR PAVEMENT SUSTAINABILITY

Journal of Civil Engineering and Management ◽

10.3846/jcem.2020.13751 ◽

2020 ◽

Vol 26 (8) ◽

pp. 717-732

Author(s):

Ankang Ji ◽

Xiaolong Xue ◽

Yuna Wang ◽

Xiaowei Luo ◽

Minggong Zhang

Keyword(s):

Integrated Approach ◽

Maintenance Cost ◽

First Year ◽

Optimization Approach ◽

Maintenance Strategies ◽

Pavement Condition ◽

Pavement Maintenance ◽

Road Pavement ◽

Maintenance Activities

Addressing the multi-dimensional challenges to promote pavement sustainability requires the development of an optimization approach by simultaneously taking into account future pavement conditions for pavement maintenance with the capability to search and determine optimal pavement maintenance strategies. Thus, this research presents an integrated approach based on the Markov chain and Particle swarm optimization algorithm which aims to consider the predicted pavement condition and optimize the pavement maintenance strategies during operation when applied in the maintenance management of a road pavement section. A case study is conducted for testing the capability of the proposed integrated approach based on two maintenance perspectives. For case 1, maintenance activities mainly occur in TM20, TM31, and TM41, with the maximum maintenance mileage reaching 88.49 miles, 50.89 miles, and 20.91 miles, respectively. For case 2, the largest annual maintenance cost in the first year is $15.16 million with four types of maintenance activities. Thereafter, the maintenance activities are performed at TM10, TM31, and TM41, respectively. The results obtained, compared with the linear program, show the integrated approach is effective and reliable for determining the maintenance strategy that can be employed to promote pavement sustainability.

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Reliability analysis of a reach stacker in relation to repair maintenance cost and time: a case study of the Gambia sea port

Life Cycle Reliability and Safety Engineering ◽

10.1007/s41872-019-00102-2 ◽

2019 ◽

Vol 9 (3) ◽

pp. 283-289

Author(s):

Theodore Tchotang ◽

Lucien Meva’a ◽

Bienvenu Kenmeugne ◽

Paul Victor Jatta

Keyword(s):

Reliability Analysis ◽

The Gambia ◽

Maintenance Cost

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