Technology

TAQA unveils next-generation inflow control technology

The M4 Inflow Control System will be showcased at ADIPEC 2024. (Image source: TAQA)

TAQA, an international company offering leading well solutions for the energy industry, has revealed the next-generation inflow control system

The M4 Inflow Control System dictates the flow of undesired fluid (such as water and gas) and avoids any binary (open/close) effect that can result in instability or even stop production. Enabling operators to optimise their reservoir performance while sustainability managing fluid production, the new system excels in controlling water in ultra-light and light applications and enhances gas production control, providing stability and flexibility in diverse reservoir conditions.

Supercharging reservoir performance

“With the largest portfolio of inflow control systems more than 20 years of inflow control devices expertise, the M4 Inflow Control System represents the pinnacle of our innovation so far,” remarked Mojtaba Moradi, subsurface engineering manager of TAQA. “This new generation offers water control by gradually reducing inflow as water production increases, avoiding premature well shut in.
“Its main benefit is precision control based on reservoir production. The device allows operators to maximise output without risking shutting wells in, so they can manage production continuously and efficiently, which translates into obvious financial benefits.”

According to TAQA, the M4 Inflow Control System technology incorporates an advanced pilot control system that is super sensitive to density, making it suitable for a wide range of oil types, including ultra-light, light, medium, and heavy oils. It also features advanced multi-phase control, allowing the device to perform independently of its orientation in the wellbore.

TAQA also offers a ‘plug and play’ integration with its full portfolio of inflow systems and has been built to optimise performance in all types of wells in all reservoir types. Additional operational features such as last-minute capacity change, and the ability to circulate to the bottom have also been incorporated into the design.

Although not limited to any oil viscosity, so far, the system has demonstrated excellent performance with oil viscosities as low as 0.5cP tested together with water to define the operating and control points at various water cuts. A full qualification matrix of debris, erosion and cycle testing has also been completed.

IFS launches IFS Cloud 24R2 with AI-powered features

Oil worker in hard hat looking at digital images of refinery

IFS Cloud 24R2 includes new IFS.ai-powered features.

IFS, the leading provider of enterprise cloud and Industrial AI, has launched IFS Cloud 24R2 at its IFS Unleashed event in Orlando, Florida, including new IFS.ai-powered features to drive industrial AI adoption at scale

With the launch of 24R2, more than 60 deep industrial AI capabilities are now available.

Feature highlights

New feature highlights include:

Home is a new, dynamic, AI-powered homepage for IFS Cloud providing live project status visibility, fuelling productivity and efficiency. Anomalies are automatically detected, and corrective actions suggested, saving time and increasing accuracy of project analysis. This unique and intuitive experience combines the new context aware IFS.ai Copilot uses cases with a growing ecosystem of interactive widgets that help users plan, manage, build and service assets faster, smarter and safer.

IFS.ai Copilot now goes deeper than ever, surfacing insights from across the organisation. The context aware Copilot with preconfigured industries capabilities gets even more powerful when integrated with customer data sources. Service leaders and dispatchers can now maximise field service delivery and future planning efficiency with AI-driven accelerated, accurate decision making, and obtain instant contextually relevant answers to questions.

Within the Asset Applications module, the new IFS.ai Copilot for FMECA (Failure Modes, Effects, Criticality Analysis) feature drives optimised asset availability while reducing maintenance costs and mitigating risks. It provides detailed analysis of how an asset might fail, the probability, and consequences of making or adjusting maintenance strategies. AI supports FMECA by unlocking insights from unstructured information such as manuals and maintenance reports to support and refine the analysis.

New Prompt Libraries in Copilot empower users to take the lead with AI by storing contextually relevant prompts, eliminating repetition and boosting productivity.

IFS.ai can take unstructured data from, for example, a new manufacturing customer PO and auto- create a new order so the production process can be accelerated. The impact of this new order onto the shop floor can then be modelled and analysed with the new Manufacturing Scheduling Optimization (MSO) Simulation capability, enabling production managers to improve capacity planning and meet customer demand. Meanwhile, asset managers can use the Simulation capabilities to more accurately predict and plan essential asset maintenance based on different scenarios.

Christian Pedersen, Chief Product Officer at IFS, commented, “All new features and enhancements within IFS Cloud 24R2 are guided by IFS’s strategic themes. They are tailored to help customers unleash their full potential – both in terms of operational effectiveness and profitability – by leveraging IFS.ai to unlock and use the secret weapon from across supply chain and operations: their data.”

At the IFS Unleashed event, taking place in Orlando, Florida from 15-17 October, attendees heard about IFS’s plans to further enhance its AI capabilities for the benefit of its customers, with the stated aim of becoming the undisputed leader in industrial software.