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Products

Drill AI As Peak Partnership (Drilling Optimization Software)

1- DrillAI :Intelligent Software for Optimizing Drilling Operations The oil and gas industry, as the backbone of global energy supply, demands smart, fast, and precise solutions to enhance efficiency and reduce costs. Considering that drilling operations account for over 65% of the cost of each well, optimizing this process plays a crucial role in project success.

In recent years, emerging technologies, especially Artificial Intelligence (AI), have transformed how companies manage operations. These technologies provide a foundation for precise decision-making, process transparency, and intelligent risk prediction, paving the way for digital transformation in the oil and gas sector.

At Pishro Energy Almas Kish, with an innovative approach, we believe that the future belongs to companies that embrace technology rather than rely on the past. Our goal is to transition from traditional methods toward intelligent solutions by integrating engineering knowledge with cutting-edge technologies to build a more reliable and efficient future for the oil and gas industry.

https://drill-ai.com/

In addition, we have also developed a Bit Selection Module.

2-Bit Selection- The Bit Selection Module is designed to assist drilling engineers in selecting the most suitable drill bit for each section of a wellbore based on formation characteristics and drilling parameters. By analyzing input data, it provides recommendations that enhance drilling efficiency, reduce costs, and improve overall performance. The Bit Selection Module is an advanced decision-support tool designed to help drilling engineers choose the most suitable drill bit for each section of a wellbore by analyzing formation characteristics, drilling parameters, and historical performance data. By integrating diverse data sources and leveraging technologies such as machine learning, big data analytics, and simulation modeling, the module provides actionable recommendations that enhance drilling efficiency, reduce operational costs, and improve overall performance. 

In the following, you will find images illustrating the likelihood of using the most suitable bit based on hole size and selected formation, with the bit’s most likely to perform well in each formation clearly identified.”