US 2026/0278331 A1 · MODIFIED MECHANICAL SPECIFIC ENERGY SYSTEM AND METHODS USING A TERNARY GRAPH-BASED APPROACH

Abstract

The Modified Mechanical Specific Energy (MSE 3.0) system introduces an advanced, AI-driven drilling optimization approach. Unlike traditional models, MSE 3.0 integrates a ternary graph-based visualization to dynamically analyze cuttings morphology, pipe vibration, and MSE in real time. The system utilizes machine learning algorithms for predictive analytics, second-order optimization for early inefficiency detection, and a cost-effective surface-based measurement approach. By eliminating reliance on downhole sensors, MSE 3.0 reduces operational costs while enhancing drilling efficiency, making it applicable to hydrocarbon, geothermal, and critical mineral extraction operations. A key innovation of MSE 3.0 is the integration of real-time Cuttings Morphology Analysis, providing a direct, continuous assessment of downhole conditions and formation response. This enables precise, data-driven optimization of drilling patterns, significantly improving predictive accuracy and wellbore stability over conventional single-variable MSE models.

Claims4

Dependent claims

A method for optimizing drilling efficiency using a ternary graph-based model, as illustrated in FIG. 1, wherein input variables include Cuttings Morphology, Pipe Vibration, and Modified MSE, dynamically weighted based on historical performance datasets and real-time telemetry, wherein:

a. A high-resolution imaging apparatus continuously captures cuttings morphology at the shale shaker and classifies them based on AI-driven image processing;
b. A set of accelerometer-based sensors and acoustic sensors detect drill pipe vibrations, capturing axial, torsional, and lateral instability data in real time;
c. A computational model calculates real-time Modified MSE by combining Weight on Bit (WOB), Torque (TOB), Rotational Speed (RPM), and Rate of Penetration (ROP), which is dynamically updated in the ternary visualization;
and
d. A ternary graph-based algorithm maps these three input variables, applying weighted coefficients to visualize optimal drilling conditions and inefficiencies.

2 more elements

Dependencies are inferred from the claim text.

Modified mechanical specific energy system and methods using a ternary graph-based approach

Life of this patent

Modified mechanical specific energy system and methods using a ternary graph-based approach

Life of this patent

Abstract

Claims4