Ontology Knowledge-Based Decision Support System

Kafayat Oluwatoyin Shobowale, Fakruldin Mohd Hashim, Hilmi Husin, S. A. Alim

Abstract


Since the inception of making decisions, one or more forms of decision support systems have been applied to a number of areas as a system that has the capability to help decision makers in decision making. Decision support systems has also been designed using a number of knowledge representation techniques. This paper uses an ontology knowledge representation technique for a decision support system design. The important terms taxonomy of the domain serves as the knowledge base and this was combined with Java rules (as the data management model) connected together using the web ontology language application programming interface (OWL-API). Subsea multiphase pump used in the oil and gas industry was used as the case study to build the decision support system. The result shows the tool ability in recommending prospective technologies based on the match algorithm and percentage comparator; this aid in refining the applicable suggested technologies by showing the percentage match. This contribution of this paper is an ontology knowledge-based system that serves as the knowledge-base, that is built on linguistic terms which can influence decision makers approval of knowledge-based decision making which is usually done manually in this domain. The validation by domain experts between the Ontology knowledge-based tool and the Pugh matrix shows that the tool was 20% better in recommending suitable technology to suit a particular oil and gas field scenario for an appropriate technology assessment and selection. 


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M. Shafiee, I. Animah, B. Alkali and D. Baglee, "Decision support methods and applications in the upstream oil and gas sector," J. of Petr. Sci. and Eng., 173: 1173-1186, 2019.

S.U. Khan, M. Niazi and R. Ahmad, "Barriers in the selection of offshore software development outsourcing vendors: An exploratory study using a systematic literature review," Inf. and Soft. Tech., 53(7): 693-706, 2011.

T. Aven and L.M. Pedersen, "On how to understand and present the uncertainties in production assurance analyses, with a case study related to a subsea production system," Rel. Eng. and Sys. Saf., 124:165-170", 2014..

M. Bozorgmehrian, "Sizing And Selection Criteria For Subsea Multiphase Pumps," Unpublished Masters Thesis, University of Houston, 2013.

I. Dash, "Provision of Reliability Data for New Technology Equipment in Subsea Production Systems," Unpublised Masters Thesis, Norwegian University of Science and Technology, 2012.

J. Moreno-Trejo, R. Kumar and T. Markeset, "Mapping factors influencing the selection of subsea petroleum production systems: a case study," Int. J. of Sys. Assurance Eng. and Mg.t, 3(1):6-16, 2012.

S. Choubey and G.P. Karmakar, "Artificial intelligence techniques and their application in oil and gas industry," Artif. Intelli. Rev., Springer Nature. 2020.

A.B. Zolotuhin and Y.P. Stepin, "Problem and models of multicriteria decision making and risk assessment of the arctic offshore oil and gas field development," IOP Conf. Ser.: Mater. Sci. Eng. 700 012050, 2019.

N. Ramzali, M.R.M. Lavasani and J. Ghodousi, "Safety barriers analysis of offshore drilling system by employing Fuzzy Event Tree Analysis," Safety Science, 78: 49-59, 2015.

K. Ilangovan, M. Dindi, A. Fuglesang and B. Van Der Rest, "Qualification and Application of all Electric and Topside less Subsea Multiphase Pump Technology in Subsea Factory Mission to minimize the life cycle cost," Virtual Int. Petr. tech. conf. (IPTC), March 2021.

I. Ohanyere and N. Abili, "Reassessment of Subsea processing Technology to Maximize Recovery on Offshore Marginal Field Developments.," Paper presented at the Offshore Tech. Conf., 2015.

N.A. Solvik, J. Michaelsen and P. Luce, "Evolution of Subsea Boosting: A Review of Past and Present Projects" Paper presented at the Offshore Technology Conference 2013.

G. Teixeira and D. Schiozer, "Integration of Production Facilities and Reservoir Simulation for Comparison of Subsea and Conventional Lift Technologies," Paper presented at the EAGE Annual Conference & Exhibition incorporating SPE Europec 2013.

P.K. Deore, "Decision Making in Upstream Oil and Gas Industry-An Integrated Approach" Paper presented at the SPE Oil and Gas India Conf. and Exhib, 2012.

M. Saeed et al., "Semantic Web Technologies for External Corrosion Detection in Smart Oil Fields," Paper presented at the SPE Western Regional Meeting, 2015.

L. Van Ruijven, "Ontology for systems engineering, "Procedia Computer Science, 16: 383-392, 2013.

K.O. Shobowale, "Ontology in Medical Database Management System," In: Vishal Jain (Editor-in-Chief), Ontology Based Information Retrieval in Health Care System, Scrivener Publishing, Wiley, 2020.

R.T. Sutton et al., "An overview of clinical decision support systems:benefits, risks and strategies," npj Digiatal Medicine 3(17), 2020.

K.O. Shobowale et al., "Impact of ontology in aviation incident and accident knowledge repository,"ATBU J. of Sci., Tech. and Edu., 9(3):255-267, 2021.

A.B.M. Salem and T. Shmelova, "Intelligent Expert Decision Support Systems: Methodologies, Applications and Challenges," Research Anthology on Dicision mgt in Healthcare, Bus. and Eng. 510-531, 2021.

K.O. Shobowale, M.H. Fakhruldin and H. Hilmi, "Ontology based decision support knowledge acquisition module," ARPN J. of Eng and Applied Sci., 11(20): 11988 - 11993, 2016.

A.E. Baladeh, M. Cheraghi and N. Khakzad, "A multi-objective model to optimal selection of safety measures in Oil and gas facilities," Proc. saf. and Envir. Prot., 125: 71-82, 2019.

B.A. Masmas and A. Mohamed, "Knowledge-based decision support system for emergency management: The pandemic framework," J. of Infor. and Comm. Tech., 20(4): 599-628, 2021.

J.E. Moreno et al., "EOR Advisor System: A Comprehensive Approach to EOR Selection," Paper presented at the Int. Petr. Tech. Conf., 2014.

C.E. Bravo et al., "State of the art of artificial intelligence and predictive analytics in the E&P industry: A technology survey," SPE Journal, 19(04): 547-563, 2014.

G. Hua, "Comparison of multiphase pumping technologies for subsea and downhole applications," Oil and Gas Facilities, 1(01): 36-46, 2012.

Y.G. Lopes and A.T. de Almeida, "Assessment of synergies for selecting a project portfolio in the petroleum industry based on a multi-attribute utility function,". J. of Petr. Sci and Eng., 126:131-140, 2015.

C. Fernandes and C. Roux, "Selection of Subsea High Boosting Multiphase Pumps for Incremental Oil Recovery of Aging Deep Offshore Field,". Paper presented at the Offshore Tech. Conf, 2016.

L. Lønmo and G. Muller, "Concept Selection-Applying Pugh Matrices in the Subsea Processing Domain," Paper presented at the 24th Annual INCOSE Int. Symposium, Las Vegas, Nevada, 2014.

H. Lu et al., "Blockchain Technology in the Oil and Gas Industry: A Review of Applications, Opportunities, Challenges, and Risks," IEEEAccess, 2019.

M.O. Momoh, P.U. Chinedu, W. Nwankwo, D. Aliu and M.S. Shaba (2021). “Blockchain Adoption: Applications and Challenges” International Journal of Software Engineering & Computer Systems (IJSECS). VOL. 7, (2), August 2021. 19-25

A.K. Yazdi et al., "Supplier selection in the oil and gas industry: A comprehensive approach for Multi-criteria decision analysis" Socio-Economic Planning Sci, 2021.

Z. Kbath, N.O. Erdil and F. Aqlan, "Risk assessment in oil and gas industry using simulation and Bow-Tie analysis," Int. J. of Ind. Eng. 27(1), 2020.

K.L. Na et al., "An expert knowledge based decommissioning alternative selection system for fixed oil and gas assests in the South China Sea," Ocean Eng. 130: 645-658, 2017

M. Alemi et al., "A mathematical estimation for artificial lift systems selection based on ELECTRE model," J. of Petr. Sci. and Eng., 78(1): 193-200, 2011.

B. Cai et al., "Using Bayesian networks in reliability evaluation for subsea blowout preventer control system,"" Rel. Eng. and Sys. Saf., 108: 32-41, 2012.

E. Rambaldi, "Deepwater development challenges from an operator point of view: The Essential Combination of Existing Field Experience with Innovation and new technologies," Paper presented at the Int. Oil and Gas Conf. and Exhibition in China, 2010.

M.M. Khasanov et al., "Approach to Selection of the Optimal Lift Technique in the Vankor Field," Paper presented at the SPE Annual Technical Conference and Exhibition, 2010.

M. Alemi et al., "A prediction to the best artificial lift method selection on the basis of TOPSIS model," J. of Petr. and Gas Eng., 1(1): 009-015, 2010.

N.U. Khan, V. Elichev, L. Ganzer and N. Ali, "An Integrated Life-Time Artificial Lift Selection Approach for Tight/Shale Oil Production," Paper presented at the SPE Hydrocarbon Economics and Evaluation Symposium.

A. Fowler et al., "A multi-criteria decision approach to decommissioning of offshore oil and gas infrastructure," Ocean & Coastal Mgt., 87: 20-29, 2014.

S.H. Ding, S. Kamaruddin and I.A. Azid, "Development of a model for optimal maintenance policy selection" Euro. J. of Ind. Eng., 8(1):50-68, 2014.

H. Brandt, S.L. Isaksen and S.H. Friedemann, "Deepwater Developments: successful application of new technology," Paper presented at the SPE Annual Tech. Conf. and Exh, 2009.

W. Hayuhardhika et al., "Weighted ontology and weighted tree similarity algorithm for diagnosing diabetes mellitus," Paper presented at Int. Conf. on Comp., Control, Informatics and its Applications (IC3INA), 2013.

P. Kremen and Z. Kouba, "Ontology-driven information system desig,n" IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 42(3): 334-344, 2012.

H.A. Salah, "Ontology development (OWL&UML) methodology of web-based Decision Support System for water management," Paper presented at the 6th Int. Conference on Electronics, Computers and AI (ECAI), 2014.

A. Azizan et al., "Ontology-Based Information Retrieval: A Review," Paper presented at the Int. Symp. on Math. Sci. and Comp. Research, 2013.

R. Iqbal et al., "An analysis of ontology engineering methodologies: A literature review," Research J. of applied sci., eng. and tech., 6(16):2993-3000, 2013.

A.M. Nazir, R. Colomb and R. Ibrahim R, "Ontology-based applications in information systems research: through the lens of design science research methodology," Proceedings of PACIS 2012.

R. Elhdad, N. Chilamkurti and T. Torabi, "An ontology-based framework for process monitoring and maintenance in petroleum plant," J. of Loss Prev. in the Proc. Ind., 26(1): 104-116, 2013.

Y.A. Zagorulko and G. Zagorulko, Ontology-Based Approach to Development of the Decision Support System for Oil-and-Gas Production Enterprise. Paper presented at the SoMeT 2010.

M. L. Imam., B. H. Adebiyi., H. Bello-Salau., G. A. Olarinoye, and M. O. Momoh., 2019, October.

Cultured Artificial Fish Swarm Algorithm: An Experimental Evaluation. In 2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) (pp. 1-7). IEEE.

F. G. Filip, C.-B. Zamfirescu, and C. Ciurea, Computer-Supported Collaborative Decision-Making: Springer, 2017

L. S. R. Supriadi and L. S. Pheng, "Knowledge Based Decision Support System (KBDSS)," in Business Continuity Management in Construction, ed:Springer, 2018, pp. 155-174

A. Mishra and S. K. Dubey, "Evaluation of reliability of object oriented software system using fuzzy approach" Paper presented at the 5th International Conference, Confluence The Next Generation Information Technology Summit (Confluence), 2014.

M. Gerrit, J. K. Dag, H. B. Halvard, and P. Michael, "Researching the application of Pugh Matrix in the sub-sea equipment industry," in Conference on systems engineering research University of Southern California, 2011.

B. Singh and S. P. Kannojia, "A review on software quality models" Paper presented at the International Conference on Communication Systems and Network Technologies (CSNT), 2013.

P. U. Chinedu, W. Nwankwo, D. Aliu, S. M. Shaba and

Muyideen Omuya Momoh (2020). “Cloud Security Concerns: Assessing the Fears of Service Adoption” Archive of Science & Technology 1 (2) (2020) 164 – 174

D. Aliu, S. M. Shaba, M. O. Momoh, P. U. Chinedu, W. Nwankwo (2021). “A Computer Security System for Cloud Computing Based on Encryption Technique” Computer Engineering and Applications Journal Vol. 10, No. 1, February 2021. 41-54

A.E. Stevenson et al., "Lessons Learned from Building a Large Integrated Production Model for Offshore Assets in Nigeria," Paper presented at the SPE Annual Technical Conference and Exhibition 2012.


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