ENVIRONMENTAL CONTROL IN PETROLEUM ENGINEERING ACTIVITIES

Course Description

Being one of the most important necessities of nowadays to educate students so that they become aware of environmental risks and related outcomes, Petroleum and Natural Gas Engineering program’s environment-related course concentrates on the environmental risks and hazards at exploration and production sites. Due to vast amount of usage of chemicals, some of which are carcinogen in nature, students will learn and understand how to carry, how to store, how to use and how to dispose of such chemicals. EU Norms will be given to the students for better understanding of these preventive actions. From environmental perspective, every change created for the environment by different activities have to be correctly restored at the end of the operations. So, reclamation studies for such activities will also be diswcussed.

ENVIRONMENTAL CONTROL IN PETROLEUM ENGINEERING ACTIVITIES

Evaluation Tools (Active Term)

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Course outcomes

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Course Syllabus

Reference Books & Course Materials

1. 01 Introduction to Oil and Gas Operational Safety, Wise Global Training Ltd

Learning Outcomes

1. L01 Analyze the environmental contamination risks and long-term impacts associated with various phases of petroleum exploration and production activities. SOLO 4
2. L02 Describe the distinct migration pathways, mechanisms, and factors influencing the transport of waste contaminants in the environment. SOLO 3
3. L03 Identify the primary environmental protection regulations and standards applicable to petroleum operations. SOLO 2
4. L04 Compare the efficiency of various waste treatment and disposal methods to integrate appropriate remediation techniques for specific contaminated sites. SOLO 4

Program Outcomes

1. P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
2. P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
3. P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
4. P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
5. P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
6. P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
7. P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
8. P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
9. P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
10. P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.

Po-Lo Matrix