Testing page for app

The growing desire of offshore operators to speed up subsea field development while reducing costs has fostered many compelling innovations.

Drilling, completion, production, and general surveillance are all areas that benefit greatly from remote real-time analysis. However, several challenges to remote services exist, including communications issues, fear of job loss, and working outside one’s comfort zone. What is considered an important development goal for a business might be regarded as a threat to an…

Recently, a series of instrumented perforation experiments demonstrated that existing cleanup models do not accurately predict perforation cleanup when perforating in a DUB condition.

Recently, while preparing to present a seminar on deepwater-well-construction optimization, I tried hard to find a word or a phrase that could be seen as “the secret” for a safe and optimized drilling performance.

Data-mining processes are fundamental in obtaining the predictive benefits of real-time systems and have been progressing from descriptive to predictive optimization methods.

During the optimization process, the Castilla field became the model of management strategies for the rest of the fields in the company portfolio.

Integration of technology applications is paramount in increasing the success rate of data delivery.

This work presents a workflow that can be used to analyze and forecast time/rate data of wells in low-and ultralow-permeability reservoirs.

“All models are wrong, but some are useful.”

This paper is intended to increase awareness among the forecasters and the decision makers about pitfalls associated with production forecasting.