Mining Sustainability Indicators to Classify Hydrocarbon Development

Energy plays very important role in the social economic development of a country. It is very precious as it leads to better living standards, health, environment and prosperity of a country. A country?s development sector is an enormous field, including different factors to rely on and there ar

Project Title

Mining Sustainability Indicators to Classify Hydrocarbon Development

Project Area of Specialization

Artificial Intelligence

Project Summary

Energy plays very important role in the social economic development of a country. It is very precious as it leads to better living standards, health, environment and prosperity of a country. A country’s development sector is an enormous field, including different factors to rely on and there are currently many indicators regarding the growth rate of a country. But only a few are considered to monitor sustainable development and only the raw data of those indicators is present no processing is done on them which will lead to future predictions. Many data-scientists have tried to calculate the energy development, but currently there is no application for this purpose that is using data mining to calculate the current energy development considering these IAEA indicators.

As defined in the problem definition with increasing demand of better living standards, it is observed that the world needs of consumption have a much greater ratio as of production. So, to fulfil those needs a country would need better resources to gain a strong position in sustainable development. Energy is the greatest source to increase the economic factor of a country. By taking control on energy development a country can easily increase its growth rate. Energy is available in different forms the most abundant form is hydrocarbons. We propose here a method to classify a nation’s hydrocarbon development into one of five classes: (1) futuristic; (2) conforming; (3) sustainable; (4) unsustainable; or, (5) critical using a K mean algorithm. A unique method to label unsupervised classes which is then used to divide the energy data of nations into five clusters. The labeled clusters are structured in an ID3 decision tree which provides a hierarchical structure to evaluate the hydrocarbon development in a given country. The results indicate some useful and interesting patterns in sustainability indicators.

Project Objectives

As sustainability now a days is the definition of a good living, every country is striving to have a sustainable development in present times and in the future. The best and most efficient way to increase the economy of the world is to maintain high energy development. To do this there are many ways, but we are intending to use the modern ways to implement sustainable energy development. The main objective of our system is to provide significant information about the resources of the country that it may indicate to maintain a sustainability in the energy development. A country cannot hold a strong position among other developed countries if it’s facing energy crisis. To help the countries that are facing an energy crisis we presented this system to show them the future of their resources based on their historic energy development data. With the help of this system the government officers can form better plans regarding the future energy development scenario by keeping forward the results obtained.

Project Implementation Method

We have selected 16 indicators IAEA indicators which are quantifiable and available. To group the data into unlabeled classes, K-mean clustering is the simplest, fastest and most reliable technique and it is the most commonly used technique for clustering.

Each country can be allocated to different clusters in different years based on the values of sustainability indicators. To select unitary belonging of each country to one of the clusters, we used the frequent membership rule that is the country is allocated to the cluster to which it belongs more frequently for different sustainability indicators. These clusters do not have an identification label because unsupervised classification does not have a class output. In this project, the energy development of each country is to be classified in one of the values of clusters futuristic, conforming, sustainable, unsustainable and critical. In order to allocate these labels, we calculated correlation value of each of the sustainability indicators with total production and consumption is calculated. The class output can have  values in which futuristic, conforming and sustainable point of sustainable development and unsustainable and critical point of unsustainable development.  The balance between energy production and consumption will ensure sustainability. Hence, each correlation value of sustainability indicator with energy production and consumption bears weight value for that indicator. Each of the clusters contains only a few countries where 16 indicator values are associated with each. The weight value W of each indicator is multiplied with the actual value of that indicator. All the resulting indicator values are summed up and allocated to Weighted Sum. The clusters are then sorted with respect to Weighted Sum in descending order. The cluster with the highest value is labeled as Conforming and the remaining clusters are labeled accordingly. Once the clusters are labeled, the association of a particular country to one of the classes can then be evaluated using the membership function. 

The organized data are clustered and is not easy to visualize because the decision maker is not aware of clustering methodology and interpretation. Visualizing the data to prepare an energy development plan is not feasible and the data, organized into clusters, do not suggest an improvement in an energy development plan as the indicators cannot be tracked individually in order to assess overall energy development. It is better to plot clustering results onto a decision tree, thus making all sustainability indicators explicit to the decision makers. After assessing the energetic development of the country, the decision maker will wish to know the reasons for unsustainable or critical development. A decision tree will map all sustainability indicator rules to assist the decision makers in preparing a better energy development plan.

Benefits of the Project

A country cannot hold a strong position among other developed countries if it’s facing energy crisis. To help the countries that are facing an energy crisis we presented this system to show them the future of their resources based on their historic energy development data. With the help of this system the government officers can form better plans regarding the future energy development scenario by keeping forward the results obtained. By taking control on energy development a country can easily increase its growth rate.

The decision tree also enables the decision maker to identify the factors for improvement in energy development plan. The decision maker can now address the question, ‘‘What indicators should be ameliorated to improve over- all energy development in the country?’’.

Also, to assist the decision makers in preparing a better energy development plan and to lead  better living standards, health, environment and prosperity in a country.

Technical Details of Final Deliverable

Our project consisted of a website and an android generated mobile based report. We used an ASP.NET framework to create a website using C# language in visual studio. A database was created using SQL Server and data was extracted using excel sheets.

The architecture and the design were made using the online tools for building architectures and designs and the diagrams were created using unified modeling language in visual paradigm. 

Android is used to develop the report based on results on the website. By linking the data from the database and website

Final Deliverable of the Project

Software System

Type of Industry

IT

Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

No Poverty, Decent Work and Economic Growth, Sustainable Cities and Communities, Responsible Consumption and Production

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com