--> Intelligence Enables Forward Drilling
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AAPG Middle East Region GTW, Digital Subsurface Transformation

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Intelligence Enables Forward Drilling

Abstract

This paper describes the advanced utilization of real-Previous HittimeNext Hit operational data to create real-Previous HittimeNext Hit intelligent solutions for analysis, prediction and proactive mitigation of drilling troubles. In the oil and gas industry, proactive measures using real-Previous HittimeNext Hit data not only improve the efficiency of operations, they also can be used to minimize fatal incidents. Complex drilling adversities leading to nonproductive Previous HittimeNext Hit could be predicted and mitigated in a timely manner to optimize drilling. These mishaps can range from a stuck pipe, poor hole cleaning, or well control issues. Comparative monitoring and analysis of real-Previous HittimeNext Hit optimization and advisory models with respect to the actual model creates a unique application for this era. Such an application suite is of great benefit for the Real-Previous HitTimeNext Hit Operations Center (RTOC) to automate the process of monitoring critical hole sections. A set of intelligent systems with advanced capabilities has been developed to support operational decision-making effectively and in a timely manner. The advanced capabilities include continuous monitoring, developing and dynamically updating planned models, displaying the actual model for each run for various operational incidents including tripping in, tripping out, on bottom rotation, pick-up, and slack-off with customizable filters and templates. It also provides real-Previous HittimeNext Hit information on friction and hole issues in deviated drilling wells. The systems also support the ability to compare real-Previous HittimeNext Hit data with historical data, and allow users to shift planned models in accordance with the real-Previous HittimeTop actual ROP, MSE, ECD, SPP, and torque values being streamed from the rig site