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1. Oil and Gas Analytics Using Big Data Under the Guidance of Mr. Ankit Vishnoi Submitted By: Naman Mittal Shannon Bhati 1

2. Introduction Big Data and analytics technologies economically extract : V alue from very large volumes of a wide variety of data (structured and unstructured ) Enables high-velocity capture, discovery, and/or analysis. 2

3. Introduction (Cont.) The oil and gas indu s try is data - dri v en and depends on informat i on techno l ogy : to maintain the supply and demand data prediction of demand on the basis of previous supply-demand ratio reduce hea l th, s afet y , and en v ironment ris ks that come w ith equ i pment failure or operator er r o r . 3

4. Objective To design and develop an Analytic Tool using Apache Hadoop for the supply and demand for Oil and Gas Industry. 4 The tool will Analyze Hydrocarbons Assets present and their demand Generate Demographic data, Historical oil & gas exploration, delivery, and pricing data

5. Big Data in action in Oil & Gas

6. What to Look for… A s o l u t i o n t hat m e e t s p er f o r ma nce a n d I/O st o ra ge c h alle n g e s : Re l i a b i li t y a n d a v a i l a b i li t y of I/O s t o r a g e Hig h - p er f o r m a n c e fi l e m a n a g e m ent M ore e f fi c i ent wo r kflo w 6

7. Expected Result Re c o g n i ze the va l u e of unt a p p ed d a ta a s se ts; bu i ld u s e c a s es to ad dre s s t he chal l en ges a n d co n n e ct tho s e u se cases to b u si n e s s va l u e . Und ers ta n d the c om pet i tiv e impl i ca ti ons of op e r at i ng with o u t a ll the i nfo r mat i on at your d i sp o s a l . Con d u ct a g a p a n a ly s i s to d ete r mine what n e w te c h n o l o gy a n d s ta f f i nves t me nts a r e r e q u i r ed . Con s ide r a s ha r ed se rv ices model with othe r o il a n d g as c om p a n i es to r e d uce c o sts. 7

8. 1. http ://home.hit.no/~ hansha /documents/database/training/Introduction%20to%20Database%20Systems/Introduction%20to%20Database%20Systems.pdf 2. http :// www.dolphinmobileinc.com/wp-content/uploads/2013/06/Sales-FocusedPerformance-by-Market-Actuals-vs-Forecast.png 3. https ://www.gnu.org/software/gsl/manual/html_node/Random-number-generatoralgorithms.html 4. http ://panorama-consulting.com/lessons-learned-from-an-oil-and-gas-erpimplementation/ 5. http ://searchsqlserver.techtarget.com/definition/database-management-system 6. http ://study.com/academy/lesson/what-is-a-database-management-system-purpose-andfunction.html References

9. THANK YOU