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SYNEPSISDART delivers 24/7 real time remote monitoring and analysis of drilling data and converting them into information needed in the decision making process using data analytics, pattern recognition, and machine learning algorithm technology to drill the well safely to TD with least cost per foot by: - Optimizing ROP (detecting causes of poor drilling efficiency) - Avoiding NPT/ILT thru early detection of symptoms for early intervention and mitigation - Anticipating problems and providing ready solutions from our database of lessons learned, best practices and proven solutions from historical problem wells resulting to a more confident and quicker decision process. WE FOCUS ON: - Symptoms of poor Drilling Efficiency (ROP), ex. downhole string vibrations, poor weight transfer, autodriller dysfunction. - Detecting abnormal behavior and pattern of drilling parameters before the symptoms of downhole tool dysfunction occurs (mud motor failure, MWD failure, drill string washouts) that may lead to twistoff and unscheduled trips. - Symptoms indicating poor hole cleaning and borehole instability leading to packoff and stuckpipe.