Schlumberger Ngi Tool Access

For a broader view of integrated platforms that include the NGI technology, you can also refer to the Integrated Wireline Logging Platforms overview . Platform Express Integrated Wireline Logging Tool | SLB

: The tool combines high-resolution microresistivity, imaging, and standard porosity measurements (neutron and density) into a single run.

However, the legacy NGI tool remains in active service in many regions (South America, Middle East mature fields, and North Sea) due to its lower cost and high mechanical reliability. For many operators, the "old" NGI is still the most cost-effective solution for gamma-guided geosteering. schlumberger ngi tool

: The tool provides fine-scale microresistivity data that allows geologists to identify minute attributes of reservoir rock, including sedimentary features and textural analysis.

Employs advanced impedance measurements (e.g., channel codes like For a broader view of integrated platforms that

The represents a leap in borehole imaging technology, designed to provide high-resolution microresistivity data in challenging wellbore environments . By leveraging advanced sensor arrays and sophisticated electronic processing, the NGI tool allows operators to "see" the formation with near-photorealistic clarity, even when drilling with non-conductive fluids. Core Technology and Design

To illustrate the power of the NGI tool, consider a hypothetical case study in the Permian Basin. For many operators, the "old" NGI is still

Formally part of Schlumberger’s PeriScope Edge family, the NGI tool is the hardware enabler for "look-ahead" and "look-around" capabilities. It utilizes a multi-spacing, multi-frequency array design that allows petrophysicists to see bed boundaries up to 18 feet away from the wellbore—long before the drill bit actually crosses them.

Utilizes an array of microelectrode "buttons" (similar to the Quanta Geo service's 192-button array ) to provide high circumferential coverage. Measurement Physics:

The NGI tool provides a range of data, including:

Comparing NGI images with LithoScanner elemental yields for precise mineralogical identification.