Ngi Tool - Schlumberger

The NGI tool is primarily deployed for:

In tight or unconventional reservoirs, natural fractures can be the primary pathways for oil and gas flow. The NGI tool is highly effective at identifying these open, closed, or mineralized fractures. Accurately mapping their orientation helps engineers design targeted hydraulic fracturing programs. 2. Dipmeter Analysis and Structural Mapping

A review of various scientific logging reports provides a window into the specifications of the NGI tool and its contemporaries.

The (standing for Near-bit Gamma and Inclination ) is a compact, ruggedized logging tool designed to be placed extremely close to the drill bit—often just a few feet behind it. Unlike conventional LWD tools that sit 30 to 60 feet behind the bit, the NGI provides real-time data from the very point of penetration. schlumberger ngi tool

The NGI tool addresses several challenges inherent in legacy pulsed-neutron tools:

Often, microresistivity tools fail in OBM. However, next-generation tools like NGI are optimized to provide high-quality data even in non-conductive drilling fluids.

, which offers photorealistic reservoir imaging in oil-based muds. Real-world Use The NGI tool is primarily deployed for: In

The NGI processing chain outputs:

When planning your next horizontal well, ask your SLB representative: "Is the NGI tool on the BHA?" If not, you are likely drilling blind.

The raw data from the NGI tool is sent to the surface via mud pulse or electromagnetic telemetry. On surface, it is processed through Orbit software * (part of the Delft* platform). Unlike conventional LWD tools that sit 30 to

A compelling case study from a deepwater Gulf of Mexico well illustrates the tool's value. An operator faced major uncertainties about the type and distribution of sand bodies in an area of poor seismic resolution. By acquiring and interpreting Quanta Geo images, the customer was able, for the first time in an OBM environment, to like current ripples and shale clast imbrication. This information was used to refine the geological model and define a more accurate field appraisal strategy.

The NGI tool detected a down-dip structural change that was not apparent on the seismic data. The inversion model showed the bit approaching the lower limestone boundary 12 feet early. The team steered aggressively up-hole, avoiding a trip out of the reservoir. Final well data showed 98% net-to-gross (NTG) in the target zone, delivering an IP (Initial Production) 40% above prognosis.