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Providing a Method for Developing Oil & Gas Project’s Time Schedule Automatically, based on Artificial Intelligence and Soft Computing

Akbari, Zohreh | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55424 (01)
  4. University: Sharif University of Technology
  5. Department: Industrial Engineering
  6. Advisor(s): Habibi, Moslem
  7. Abstract:
  8. The project schedule is used as a key tool for managers to measure the progress of the project and prevent the deviation of the project from achieving its goals.Project scheduling started with manual methods. After a while, due to the increase in the size of projects and their complexity, the efficiency of traditional methods decreased. After the advances in computer sciences, scientists and experts had moved towards intelligentization and automation.During the past three decades, despite the attention of both academic and industrial fields towards automatic planning and scheduling of projects, Most of the researches focused on construction projects, and unfortunately, a few attentions have been paid to other industries (especially the oil, gas and petrochemical industries, due to its high complexity).In this study, an algorithm has been presented for compiling the network of project activities in the field of oil, gas and petrochemicals in the basic engineering phase using methods based on expert systems and relying on the knowledge base. This algorithm creates a list of activities and a network of predecessor activities for this project by receiving information related to the scope of the project through the user interface. The algorithm presented in this research, which is a meta-heuristic algorithm and based on expert systems, produces the expected output with a very high speed and accuracy and by spending less than 10% of the energy and time required for scheduling in the traditional way.Finally, the algorithm had been tested in several real projects, and at the end of this research, the results related to the implementation of the algorithm in one of these projects were compared with the results of scheduling with the traditional method, and the accuracy of the algorithm was evaluated as very high
  9. Keywords:
  10. Scheduling ; Oil ; Project Control ; Petrochemical Industries ; Automatic Scheduling ; Gas Industry

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