Advanced Modeling of Production Induced Stress Change Impact on Wellbore Stability of Infill Well Drilling in Unconventional Reservoirs | SLB

Digital Transformation of Well-Engineering: Deploying an Integrated Cloud-Based Solution for Enhanced Performance and Collaboration

Published: 11/23/2023

Premium
Schlumberger Oilfield Services

In 2022, Tengizchevroil (TCO) adopted and transitioned to a cloud-based well-engineering solution(combination of multiple engineering engines), an adoption that was built upon the successfulimplementations and learnings from other asset locations. The primary objective is to achieve enhancementsin performance, integration of data and applications, and improved collaboration targeted for factory orpad well planning. This paper outlines the deployment process, significant milestones, utilization of agilemethodology, and the benefits derived from this digital transformation.

After an initial agile workflow mapping and optimization exercise, offset well survey and drilling datawere centralized in an integrated database to enable automation. Digital well planning templates wereestablished, an optimized subsurface data integration workflow was implemented, and one-click drillingprogram capabilities were deployed. Additionally, a well-structured and prioritized backlog was createdto define the minimum viable product (MVP). Prior to the final deployment, a dedicated 3-week bubblesupport/hypercare phase was conducted to ensure a smooth transition to the new engineering solution.

Due to the well-coordinated efforts throughout the journey, TCO successfully trialed and launched theintegrated cloud-based solution in September 2022. User feedback was captured throughout the integrationprocess and adjustments implemented within the templates. Full implementation for future factory and paddrilling planning is planned based on the milestones and benefits that were noted during the trial phase.

From an optimization standpoint, the implementation of advanced tools such as "copy basis of design",stick chart analysis, and automated trajectory, hydraulics, torque & drag (T&D) and anti-collision, hassignificantly reduced well-planning times. Interaction with sub-surface teams, and with other applications,has been significantly improved. The inclusion of inbuilt quality checks and automated engineeringvalidation engines has ensured consistent well planning. And the fully interconnected engineeringsystem provides automated adaptation after any re-planning modifications. Each development requirementunderwent a thorough review, following an agile methodology, to implement TCO's requirements. On aglobal scale it has also been recognized that the Software-as-a-Service (SaaS) model leads to reducedoperational expenditures.

THIS ITEM IS PREMIUM CONTENT. TO ACCESS THE FULL CONTENT, SIGN IN OR REGISTER BELOW.
Sign in or register