AI and Intelligent Empowerment of Drilling Circulation Systems

Oil and gas drilling operations have long been confronted with three core challenges: remote wellsite locations, harsh working environments, and complex operating conditions of circulation systems. Especially for onshore deep wells, shale oil blocks, Gobi deserts, mountainous areas and overseas work zones, mud pumps and solids control systems act as the core equipment for drilling fluid circulation. Their operating status directly governs hole cleaning, drilling speed efficiency, downhole safety and comprehensive operational costs. Conventional management modes heavily rely on empirical judgment by on-site engineers. Equipment inspection, parameter adjustment, fault troubleshooting and maintenance decisions still require extensive manual supervision. This leads to prolonged personnel exposure in high-risk zones, delayed anomaly detection and high risks of unplanned shutdowns.

With the gradual maturity of edge computing, industrial IoT, machine vision, time-series data analysis and digital twin technologies, intelligence within the petroleum drilling industry is evolving from single equipment monitoring toward autonomous control of integrated drilling circulation systems. For mud pumps and solids control equipment, intelligence is far more than simply installing sensors or remote display screens. It builds a complete data closed loop centering on drilling fluid pressure, flow rate, solid phase content, vibration, temperature, rotating speed and equipment health status.

1. Intelligent Mud Pumps: From Breakdown Repair to Predictive Maintenance

   As the power heart of the drilling fluid circulation system, stable operation of mud pumps determines bottom-hole energy transmission, hole cleaning and controlled circulating density. Under traditional maintenance modes, consumable components including liners, pistons, valve seats, valve plates, bearings, gears and seals are replaced either based on periodic experience or after sudden failures, resulting in excessive maintenance or unexpected malfunctions.

   Intelligently upgraded mud pumps are equipped with vibration sensors, pressure transmitters, temperature sensors, rotary encoders and current monitoring modules at key positions to continuously collect operational data of power ends and fluid ends. Powered by AI algorithms analyzing vibration spectrums, pressure pulse curves, temperature trends and load fluctuations, the system identifies early fault characteristics, such as insufficient bearing lubrication or accelerated wear, piston-liner seal failure, delayed valve assembly closure and abnormal impact, excessive pressure fluctuation of suction and discharge pipelines, fatigue trends of gear transmission systems, as well as inadequate lubrication flow or abnormal temperature.

   Compared with regular scheduled maintenance, smart mud pumps shift maintenance strategies from time-driven to condition-driven. The system releases early warnings according to actual equipment degradation, assisting field teams to prepare spare parts and arrange replacement schedules in advance. This reduces unplanned downtime and cuts the frequency of close-range manual inspections in high-pressure, high-noise and high-vibration hazardous areas.

2. Intelligent Solids Control Systems: Closed-loop Control of Drilling Fluid Solid Phase

   Solids control systems undertake critical tasks including drilling fluid purification, solid phase regulation and stabilization of mud properties. Excessive solid content, insufficient screen surface treatment efficiency and unbalanced centrifuge load will directly impair drilling fluid density, viscosity, fluid loss and cutting carrying capacity. Consequently, drilling speed declines, filter cake quality deteriorates, pump pressure rises and more complex downhole incidents occur.

   In conventional solids control operations, operators need to continuously observe cuttings on shaker screens, sample and test mud properties, and adjust screens, flow rates and centrifuge speeds by experience. Such methods are affected by personnel experience, fatigue and site conditions. Parameter adjustments often lag, especially during nighttime operations, severe weather or continuous drilling.

   Intelligent solids control systems realize stable closed-loop control through multi-source data fusion:

   Smart Monitoring of Shale Shakers

   Accelerometers and machine vision identify cuttings distribution on screens, screen blockage and variations in material flow to evaluate screening efficiency automatically.

   Differential Pressure Monitoring for Desanders & Desilters

   Inlet and outlet pressure, flow rate and drilling fluid property data are adopted to assess working conditions of hydrocyclones and detect blockage, abrasion or declining processing efficiency timely.

   Dynamic Speed & Differential Speed Regulation of Decanter Centrifuges

   Rotating speed, differential speed and liquid pool depth are adjusted dynamically based on inflow volume, solid concentration and separation requirements, improving solid-liquid separation efficiency and lowering flocculant consumption.

   On-line Monitoring of Drilling Fluid Parameters

   Integrated real-time indicators including density, viscosity, solid content, sand content and pH values support judgment on whether mud performance meets demands of drilling, reaming, tripping and cementing.

   Enabled by AI solids control control systems, equipment operates actively instead of passively. Key parameters are adjusted autonomously responding to real-time working conditions to maintain continuous, stable and traceable solid phase control of drilling fluid.

3. Remote Monitoring & Low-manpower Wellsites: Mitigating Risks in Remote Operation Zones

   Harsh weather, inconvenient transportation, inadequate logistics and persistent safety hazards remain chronic pain points at remote wellsites. The value of intelligent solutions extends beyond efficiency improvement; it reduces long-term on-site personnel deployment and exposure to dangerous zones.

   Via edge computing gateways, operational data from mud pumps, solids control systems, drilling instruments and wellsite cameras can be integrated into a unified remote monitoring platform. Technical centers in headquarters can check real-time pump pressure, flow rate, rotating speed, vibration, temperature, solid phase content, equipment alarms and historical trends, forming a collaborative mode featuring limited on-site operators and remote expert decision-making.

   Typical application scenarios include:

   • Remotely tracking discharge pressure variations of mud pumps to judge circulation risks downhole;
   • Intelligent early warning of abnormal pump temperature to prevent bearing burnout or seal failure;
   • Remote diagnosis of declining processing efficiency of solids control equipment, guiding on-site staff to inspect screens, hydrocyclones and centrifuges;
   • AI video identification of safety violations such as missing PPE, open equipment guardrails and pipeline leakage;
   • Simulating mud circulation parameters under diverse working conditions via digital twin models to support formulation of follow-up operation plans.

   This mode eases the burden of frontline staff working long hours in harsh environments and enables cross-wellsite, cross-regional expert support to boost decision-making efficiency under complex working scenarios.

4. Future Trend: Intelligent Circulation Systems to Become Standard for Drilling Engineering

   Future intelligence in petroleum drilling will move beyond visualized single-unit equipment, and gradually evolve into an integrated intelligent circulation system covering mud pumps, solids control equipment, drilling fluid properties, downhole working conditions and remote decision-making.

   For manufacturers of mud pumps and solids control equipment, intelligent upgrading transforms mechanical products into comprehensive solutions integrating hardware, sensors, control algorithms, edge computing, cloud platforms and engineering services. Clients obtain not merely machinery sets, but more stable drilling fluid circulation control, reduced non-productive time, lower on-site risk exposure and enhanced remote operation & maintenance capacity.

   It is predictable that with continuously accumulated training data for AI models, intelligent mud pumps and solids control systems will achieve stronger self-adaptability under working conditions. Across different blocks, formations, well types and operation rhythms, systems can continuously learn and optimize control strategies, facilitating safer, more efficient and cost-effective drilling operations for oil & gas projects.