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Digitizing Drilling Process Using Low-Code Cloud Powered Solution

Authors: Sultan Alshardi; Ericson Asemebo; Shabeer Acheerakath; Ahmed Ismail; Eslam Elabsy; Anoud Alshkeili;

Digitizing Drilling Process Using Low-Code Cloud Powered Solution

Abstract

Abstract This paper will demonstrate how digitizing drilling operations and addressing operational inefficiencies through a cloud-powered solution, can increase efficiency and profitability. Control the drilling operation was previously considered a complex task and utilized conventional methods. However, with high operational demand, digitizing the end-to-end process and integrating all stakeholders into one platform, ultimately allowed the workflow to be standardized. The entire workflow was automated using the Agile methodology and the low-code platform, PowerApps. The solution has streamlined operations and resolved the difficulty in obtaining accurate and instantaneous information by using a single platform and establishing an efficient event driven workflow. The solution integrated eight applications that cover: contract review, scope of work, well planning and design, base and location preparation, job execution, along with post job activities, and performance validation. The event-driven workflow eliminated transactional errors and enhanced the flow of information and data between different disciplines within the drilling group. This was achieved by digitizing the complex processes across several stakeholder bodies and integrating the workflow into one comprehensive platform. The digital solutions, such as this one, can be applied to the oil and gas industry are representative of the advancements that can be made when leveraging cost-effective solutions. Initially, by aligning expertise from different disciplines (business context, IT collaboration, strong system integrators and a state-of-the-art technology platform) the necessary elements were present to achieve success. Secondly, the 6-month turnaround time to design and implement the solution was achieved by customizing the low-code PowerApps platform and integrating it with the master and sub-application principles, enabling application developers to reduce complexities and produce powerful results.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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