Industry AI Adoption Leaderboard
Top AI-ready Mining, Quarrying, and Oil and Gas Extraction companies — 1,228 ranked
Ranked leaderboard of 1,228 Mining, Quarrying, and Oil and Gas Extraction companies by Meo AI adoption score.
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Avg Adoption Score
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| # | Company | Stage | Key Opportunity | Location |
|---|---|---|---|---|
| 1 | oxy | Advanced | AI-driven reservoir characterization and drilling optimization to maximize hydrocarbon recovery and reduce operational costs. | houston, Texas |
| 2 | slb | Advanced | Deploying AI-driven predictive maintenance and digital twins across global drilling and production assets can dramatically reduce non-productive time and optimize field development planning. | houston, Texas |
| 3 | Princemanufacturing | Moderate | West Columbia, South Carolina | |
| 4 | U.S. Venture | Moderate | Appleton, Wisconsin | |
| 5 | corva | Moderate | Deploy a real-time AI co-pilot that ingests streaming drilling sensor data to predict non-productive time (NPT) events and recommend immediate corrective actions, reducing costly downtime. | houston, Texas |
| 6 | Steel Technologies LLC | Moderate | Louisville, Kentucky | |
| 7 | Endeavor Energy Resources, LP | Moderate | Midland, Texas | |
| 8 | Clr | Moderate | Oklahoma City, Oklahoma | |
| 9 | DNOW | Moderate | Houston, Texas | |
| 10 | Webco | Moderate | Sand Springs, Oklahoma | |
| 11 | Safetyms | Moderate | Lafayette, Louisiana | |
| 12 | baker hughes | Moderate | AI-powered predictive maintenance for industrial assets can dramatically reduce unplanned downtime and maintenance costs across global energy operations. | houston, Texas |
| 13 | chevron | Moderate | AI-driven predictive maintenance and optimization of upstream assets (like wells and refineries) can significantly reduce unplanned downtime and operational costs while improving safety. | houston, Texas |
| 14 | chesapeake energy | Moderate | Leverage AI for predictive maintenance of drilling equipment and optimized well placement to reduce operational costs and increase production efficiency. | oklahoma city, Oklahoma |
| 15 | conocophillips | Moderate | AI-driven predictive maintenance and optimization of drilling operations and production assets can significantly reduce downtime, improve safety, and cut operational costs. | houston, Texas |
| 16 | halliburton | Moderate | AI-driven predictive maintenance for drilling and fracking equipment can prevent costly downtime and catastrophic failures in remote, harsh environments. | houston, Texas |
| 17 | Murphy Oil | Moderate | Houston, Texas | |
| 18 | Tenaska | Moderate | Omaha, Nebraska | |
| 19 | Pace Industries | Moderate | Fayetteville, Arkansas | |
| 20 | Berltd | Moderate | Buna, Texas | |
| 21 | Jonell Systems | Moderate | breckenridge, Texas | |
| 22 | EnerVest | Moderate | Houston, Texas | |
| 23 | TETCO, Inc. | Moderate | San Antonio, Texas | |
| 24 | hunt consolidated, inc. | Moderate | Deploy AI-driven predictive maintenance and reservoir modeling to reduce non-productive time and optimize hydrocarbon recovery across its asset portfolio. | dallas, Texas |
| 25 | Retif | Moderate | Harvey, Louisiana | |
| 26 | Nwpump | Moderate | Portland, Oregon | |
| 27 | x | Moderate | Deploy AI-driven predictive maintenance across drilling and extraction equipment to reduce downtime and operational costs. | , New York |
| 28 | Dion & Sons | Moderate | Long Beach, California | |
| 29 | New Standard | Moderate | York, Pennsylvania | |
| 30 | Fescoinc | Moderate | Alice, Texas | |
| 31 | Par Pacific | Moderate | Houston, Texas | |
| 32 | independence contract drilling | Moderate | Houston, Texas | |
| 33 | SoEnergy | Moderate | Florida Sun Estates, Cavite | |
| 34 | Creedence | Basic | Williston, North Dakota | |
| 35 | Argpetro | Basic | Laredo, Texas | |
| 36 | howard energy partners | Basic | San Antonio, Texas | |
| 37 | Gamber-Johnson LLC | Basic | Stevens Point, Wisconsin | |
| 38 | Tevis Energy | Basic | Westminster, Maryland | |
| 39 | qinterra technologies | Basic | Deploy predictive maintenance AI across drilling and production assets to reduce non-productive time and optimize equipment lifecycle, directly improving margins for mid-sized operators. | houston, Texas |
| 40 | Wellbore Integrity | Basic | Houston, Texas | |
| 41 | evolve village | Basic | Leverage AI for predictive maintenance and operational optimization of oilfield equipment to reduce downtime and costs. | houston, Texas |
| 42 | saexploration | Basic | Leverage AI-driven seismic data processing and interpretation to reduce turnaround time and improve subsurface imaging accuracy, enabling faster drilling decisions. | houston, Texas |
| 43 | tgs | Basic | AI can dramatically accelerate seismic data interpretation and subsurface modeling, enabling faster, more accurate identification of hydrocarbon reserves and reducing exploration risk. | houston, Texas |
| 44 | ion geo | Basic | Leverage machine learning on decades of proprietary seismic data to automate subsurface interpretation, reducing project turnaround times by 40-60% and unlocking new exploration insights. | houston, Texas |
| 45 | anglogold ashanti | Basic | AI-powered predictive maintenance and geological modeling can optimize extraction, reduce operational downtime, and improve safety across global mining sites. | denver, Colorado |
| 46 | quanten consortium angola, llc | Basic | Leverage AI-driven predictive maintenance and real-time drilling optimization to reduce downtime and improve operational efficiency across oilfield operations. | san jose, California |
| 47 | We Are Castle | Basic | meridian, Mississippi | |
| 48 | Enterprise Offshore Drilling | Basic | Houston, Texas | |
| 49 | halliburton energy services | Basic | AI-driven predictive maintenance and failure forecasting for downhole tools and drilling equipment can drastically reduce non-productive time and costly wellsite failures. | houston, Texas |
| 50 | Quality Companies | Basic | Youngsville, Louisiana | |
| 51 | The Pipeliners Association of Houston | Basic | Houston, Texas | |
| 52 | KaMin | Basic | Macon, Georgia | |
| 53 | Ames Goldsmith Corporation | Basic | Glens Falls, New York | |
| 54 | Milestone Es | Basic | Houston, Texas | |
| 55 | Barocompanies | Basic | Stafford, Texas | |
| 56 | Tally Energy Services | Basic | Houston, Texas | |
| 57 | Molocompanies | Basic | Dubuque, Iowa | |
| 58 | Midtex | Basic | San Antonio, Texas | |
| 59 | Encino Energy | Basic | Houston, Texas | |
| 60 | American Ethane Company | Basic | Houston, Texas | |
| 61 | Hudson Technologies | Basic | Ormond Beach, Florida | |
| 62 | Pax Machine Works | Basic | Celina, Ohio | |
| 63 | mine finder gold | Basic | AI-powered geospatial analysis and predictive modeling can dramatically reduce exploration costs and improve discovery rates by identifying high-potential drill targets from geological, geochemical, and geophysical data. | black canyon city, Arizona |
| 64 | sipes houston | Basic | AI-powered predictive maintenance and failure analysis for drilling rigs and production equipment can drastically reduce unplanned downtime and maintenance costs. | houston, Texas |
| 65 | m&h | Basic | Implementing AI-driven predictive maintenance for drilling and extraction equipment to reduce downtime and operational costs. | spring, Texas |
| 66 | gas global | Basic | AI-powered predictive maintenance for drilling rigs and pipelines can drastically reduce unplanned downtime and safety incidents. | sugar land, Texas |
| 67 | Spitzer | Basic | Houston, Texas | |
| 68 | nevada gold mines | Basic | AI-powered predictive maintenance and geological modeling can significantly reduce unplanned downtime and improve ore recovery rates, directly boosting production efficiency and profitability. | elko, Nevada |
| 69 | allied group | Basic | AI-powered predictive maintenance for heavy mining equipment can dramatically reduce unplanned downtime and maintenance costs, directly boosting operational efficiency and output. | houston, Texas |
| 70 | merit energy company, llc | Basic | AI-driven predictive maintenance for wellhead equipment and production facilities can significantly reduce unplanned downtime and operational costs. | dallas, Texas |
| 71 | pdc energy, inc. | Basic | AI can optimize drilling and completion designs in real-time to maximize well productivity and reduce operational costs across their asset portfolio. | denver, Colorado |
| 72 | fluid delivery solutions | Basic | AI can optimize fluid delivery logistics, routing, and inventory management to reduce fuel costs, equipment downtime, and environmental risks. | fort worth, Texas |
| 73 | w-industries | Basic | AI-driven predictive maintenance for drilling rigs and production equipment can drastically reduce unplanned downtime and operational costs. | houston, Texas |
| 74 | championx | Basic | AI-driven predictive maintenance and failure forecasting for downhole equipment, chemical injection systems, and surface facilities can dramatically reduce unplanned downtime and optimize production chemical usage. | the woodlands, Texas |
| 75 | als oil & gas | Basic | AI-powered predictive maintenance and failure forecasting for critical upstream equipment can drastically reduce unplanned downtime and operational costs. | houston, Texas |
| 76 | bridgestone americas tire operations - bridgestone mining | Basic | AI-powered predictive maintenance for mining tires can drastically reduce unplanned downtime and catastrophic failures by analyzing sensor data to forecast wear and damage. | nashville, Tennessee |
| 77 | hilcorp | Basic | AI-powered predictive maintenance for aging well infrastructure and production equipment can significantly reduce unplanned downtime and safety incidents. | houston, Texas |
| 78 | protech | Basic | Leverage predictive maintenance and operational analytics to reduce equipment downtime and optimize field service logistics. | charleston, West Virginia |
| 79 | spl | Basic | AI-powered predictive maintenance for drilling and pumping equipment can drastically reduce unplanned downtime and operational costs. | houston, Texas |
| 80 | zalini group | Basic | AI can optimize drilling operations and predictive maintenance for field equipment, reducing downtime and operational costs by millions annually. | houston, Texas |
| 81 | cameron products | Basic | AI-powered predictive maintenance for drilling and wellhead equipment can drastically reduce unplanned downtime and catastrophic failures in harsh offshore environments. | houston, Texas |
| 82 | ocean park ventures | Basic | AI-powered predictive maintenance and geological modeling can dramatically reduce unplanned downtime and increase ore recovery rates, directly boosting operational margins. | vancouver, Washington |
| 83 | aes drilling fluids | Basic | AI-powered predictive maintenance and fluid chemistry optimization can significantly reduce non-productive time and chemical costs for drilling operations. | houston, Texas |
| 84 | aegsi holdings llc | Basic | Deploy AI-driven predictive maintenance and asset integrity monitoring across field operations to reduce unplanned downtime and improve safety compliance. | houston, Texas |
| 85 | hunt oil company | Basic | AI-powered predictive maintenance and reservoir modeling can significantly reduce unplanned downtime and optimize extraction from mature fields, directly boosting profitability. | dallas, Texas |
| 86 | dover engineering limited | Basic | AI-driven predictive maintenance for drilling rigs and production equipment can significantly reduce unplanned downtime and operational costs. | ackworth, Iowa |
| 87 | tsc offshore group | Basic | AI-powered predictive maintenance for offshore drilling equipment can drastically reduce unplanned downtime and safety incidents. | houston, Texas |
| 88 | petro-chem development co., inc. | Basic | AI-powered predictive maintenance for drilling and pipeline assets can significantly reduce unplanned downtime and operational costs. | houston, Texas |
| 89 | united pacific energy | Basic | AI-driven predictive maintenance for drilling and pipeline equipment can significantly reduce unplanned downtime and operational costs. | reno, Nevada |
| 90 | martin marietta | Basic | AI-powered predictive maintenance and logistics optimization can dramatically reduce fuel costs, equipment downtime, and delivery times across their extensive quarry and transportation network. | raleigh, North Carolina |
| 91 | certarus ltd. | Basic | AI can optimize the entire mobile energy logistics chain, from predictive demand forecasting for fuel placement to dynamic route planning for delivery trucks, maximizing asset utilization and reducing operational costs. | houston, Texas |
| 92 | royale collections global holdings | Basic | Deploy AI-driven predictive maintenance and subsurface analytics to optimize drilling operations, reduce unplanned downtime, and maximize reservoir recovery. | newport beach, California |
| 93 | haward technology middle east | Basic | AI can optimize drilling operations and predictive maintenance for heavy field equipment, reducing downtime and operational costs. | arab, Alabama |
| 94 | newmont corporation | Basic | AI can optimize mineral exploration, ore processing, and predictive maintenance across global operations to significantly reduce costs and improve yield. | denver, Colorado |
| 95 | plains exploration & production | Basic | AI-powered predictive maintenance and failure forecasting for drilling equipment and offshore platforms can drastically reduce unplanned downtime and safety incidents. | houston, Texas |
| 96 | goldcorp | Basic | AI-powered predictive maintenance and geological modeling can significantly reduce unplanned downtime and improve ore discovery rates, directly boosting production efficiency and resource life. | greenwood village, Colorado |
| 97 | linn energy | Basic | AI-driven predictive maintenance and production optimization can significantly reduce unplanned downtime and enhance recovery rates from mature assets. | houston, Texas |
| 98 | solaris energy infrastructure | Basic | Deploying AI-driven predictive maintenance and asset optimization for oilfield equipment to reduce downtime and operational costs. | houston, Texas |
| 99 | vault pressure control | Basic | AI-driven predictive maintenance for pressure control equipment can prevent costly field failures and unplanned downtime in critical well operations. | houston, Texas |
| 100 | rango inc. | Basic | AI-powered predictive maintenance and geological modeling can dramatically reduce equipment downtime and improve ore extraction efficiency in their mining operations. | mesa, Arizona |
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