The oil and gas industry has witnessed a compelling argument over the past decade to adopt data analytics techniques as upstream problems become too complex to entrust siloed disciplines with deterministic and interpretation analysis methods. Data-driven models have transformed from professional curiosity into industry imperative.
Organizations across the world are trying to make the exploration and the production processes more efficient and optimized. The operations in this field are the major factors that are driving the usage of AI in oil and gas companies.
We need data visualization because a visual summary of information makes it easier to identify patterns and trends. It’s the way the human brain works. Since the purpose of data analysis is to gain insights, data is much more valuable when it is visualized. Even if a data analyst can pull insights from data without visualization, it will be more difficult to communicate the meaning without visualization.