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Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry
Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry
This book covers aspects of data science and predictive analytics used in oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital well, value chain integration, crude basket forecasting and so forth.
208 pages, 17 Tables, black and white; 25 Line drawings, black and white; 10 Halftones, black and wh
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2023. gada 20. novembris |
| ISBN13 | 9781032413877 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 168 |
| Izmēri | 244 × 163 × 19 mm · 416 g |
| Valoda | Angļu |
| Redaktors | Gunjan, Vinit Kumar (CMR Institute of Technology) |
| Redaktors | Pradhan, Manas Ranjan (Skyline University College) |
| Redaktors | Singh, Thipendra P (Bennett University, Greater Noida, India.) |
| Redaktors | Srivastava, Kingshuk (UPES) |