Sotaog’s Solutions Aims To Fill The Current 200 Billion Dollar Performance Gap

Sotaog’s Solutions Aims To Fill The Current 200 Billion Dollar Performance Gap

Sarah Tamilarasan talks about Well optimization powered by Artificial intelligence and Machine Learning in the Oil and Gas industry, as there is a 200 billion dollar Performance Gap stemming from widespread inefficiencies, resulting in lost profitability.

Leveraging Artificial Intelligence / Machine Learning (AI/ML) to deliver real time, self-optimizing wells can solve this issue. AI/ML results mean that inefficiencies are predicted at scale, with the sole purpose of maximizing revenue. The key differentiator AI/ML brings to the table is the analysis of interdependencies between several datapoints in an asset, all at the click of a button. According to McKinsey Oil and Gas, AI/ML analytics applied correctly can provide returns as high 50 times the investment. Take a look at the complete post from here.