Optimize drilling, extraction, and refining processes thanks to advanced algorithms artificial intelligence offers. Let Devox provide custom AI in oil and gas solutions for your company that will increase productivity, minimize downtime, and reduce costs.

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Services We Provide

AI Solutions for Oil and Gas Services We Provide

Devox can develop a range of different AI applications in oil and gas. We pick a proper solution based on your requests and pains, tailoring the software to your workflow.

  • Predictive Maintenance Systems

    Increase equipment reliability while optimizing maintenance schedules, saving money without sacrificing practical results quality. These systems utilize machine learning algorithms to analyze data from sensors and equipment to predict equipment failures before they occur, thereby reducing downtime and maintenance costs.

  • Reservoir Characterization Software

    Help geoscientists and engineers in your team analyze seismic data, well logs, and production data to better understand subsurface reservoir properties and optimize drilling and production strategies. Streamline well placement, reservoir management strategies, and hydrocarbon recovery techniques, gaining valuable insights into reservoir behavior and mitigating exploration and production risks on the way.

  • Drilling Optimization Tools

    Leverage real-time data from drilling operations to optimize parameters such as drill bit speed, weight on bit, and drilling fluid properties: AI tools enable operators to achieve faster drilling rates, minimize drilling-related hazards, and enhance overall well construction efficiency. You will also improve safety and environmental performance.

  • Production Optimization Solutions

    Analyze real-time production data to identify inefficiencies, predict equipment failures, and optimize production schedules, ultimately increasing production rates and maximizing asset performance. AI will provide actionable insights into your production operations, enabling you to make informed decisions and achieve sustainable production growth.

  • Natural Language Processing (NLP) for Data Analysis

    Explore NLP’s ability to extract insights from unstructured data sources such as well reports, technical documents, and research papers, helping engineers make informed decisions more quickly. We incorporate deep learning models and semantic analysis techniques to enable these mechanics. The app will automatically categorize and summarize large volumes of technical documents, reports, and research papers.

  • Environmental Impact Assessment Software

    AI-based software is employed to assess and mitigate the environmental impact of oil and gas mining activities, including monitoring air and water quality, predicting environmental risks, and optimizing remediation efforts. Devox incorporates remote sensing technologies, geospatial analysis tools, and machine learning algorithms to assess and mitigate the environmental impacts of oil and gas mining activities.

  • Supply Chain Management Systems

    AI-powered supply chain management systems optimize the logistics and procurement processes involved in oil and gas mining operations, ensuring timely delivery of equipment and materials while minimizing costs and disruptions.


Benefits of AI Solutions for Oil and Gas

Commodities mining can be better with what artificial intelligence has to offer. Learn how it can elevate your day-to-day operations, bringing the welfare of workers’ safety, better market conditions, and working with nature.

  • Boost Exploration and Reservoir Characterization

    AI can analyze geological data to identify potential hydrocarbon reserves more accurately and efficiently than traditional methods. For instance, machine learning models interpret seismic data, predict reservoir behavior, and optimize drilling locations to increase the success rate of exploration activities.

  • Optimize Drilling and Production

    Utilize AI to analyze geological and operational data, enhancing the precision of drilling operations and optimizing production levels. You’ll maximize output and reduce waste, ensuring you target the most productive sites and employ the most efficient extraction techniques; real-time AI and data analytics in drilling oil and gas will help by continuously monitoring and adjusting operational parameters for optimal performance.

  • Tackle Equipment Maintenance and Downtime

    Make sure there’s no unexpected breakages, let alone human sacrifices, thanks to predictive maintenance algorithms that analyze equipment performance data in real-time. This anticipates failures before they occur, scheduling maintenance only when needed, reducing downtime, and extending the lifespan of your assets.

  • Improve Operational Efficiency

    Deploy AI-driven automation for routine tasks and data analysis, freeing up human resources for strategic activities. Be it a question of predicting demand for materials and equipment to optimizing logistics and inventory levels, you'll streamline any operation with due precision. You’ll also reduce errors and boost overall efficiency, ensuring smoother, faster, and more cost-effective processes.

  • Make it Safer Both For Workers and Environment

    Use AI to monitor operational data and predict potential safety hazards, drastically reducing the risk of accidents and improving worker safety. Simultaneously, enhance environmental monitoring to detect and address spills or leaks swiftly, minimizing environmental impact and ensuring regulatory compliance.

  • Navigate Market Volatility and Price Fluctuations

    Employ AI-driven market analysis and forecasting tools to anticipate market trends and price movements: advanced analytics and forecasting models will help you navigate that. Tap into strategic planning and informed decision-making, letting your company mitigate risks associated with market volatility and capitalize on favorable market conditions.

  • Cut Costs and Increase ROI

    Utilize AI to enhance operational efficiencies, reduce maintenance costs, and optimize resource allocation. This results in significant cost savings across your operations while boosting production outputs, ultimately leading to a higher return on investment and strengthened market positioning.

Key Features

Key Features of AI Solutions for Oil and Gas


Data Integration

AI solutions can integrate and analyze diverse datasets, including seismic data, well logs, production data, and equipment sensor readings, to provide a comprehensive understanding of subsurface reservoirs and operational processes.


Predictive Analytics

AI algorithms utilize historical and real-time data to predict equipment failures, reservoir behaviors, production trends, and environmental risks, enabling proactive decision-making and risk mitigation.


Real-time Monitoring

AI solutions offer real-time monitoring capabilities to track drilling operations, production processes, equipment performance, and environmental conditions, allowing for immediate intervention and optimization.


Optimization Algorithms

AI-driven optimization algorithms continuously analyze data to optimize drilling parameters, production schedules, equipment maintenance routines, and resource allocation, maximizing operational efficiency and profitability.


Decision Support Systems

AI-powered decision support systems provide actionable insights, recommendations, and scenario analyses to aid decision-makers in optimising exploration, production, and environmental management strategies.


Natural Language Processing (NLP)

AI solutions equipped with NLP capabilities can analyse unstructured textual data from technical documents, reports, and research papers, extracting valuable insights and facilitating knowledge discovery and sharing.


Machine Learning Models

AI solutions leverage machine learning models, including supervised, unsupervised, and reinforcement learning techniques, to identify patterns, correlations, and anomalies in data, enabling predictive modeling, classification, and anomaly detection tasks.


IoT Technology

AI and IoT in oil and gas software facilitate the real-time collection and transmission of data from sensors and devices across production sites to centralized systems. This data is then analyzed by AI algorithms to optimize operations, predict equipment failures, improve safety, and reduce costs.

Development Process

Our AI Solutions for Oil and Gas Development Process

To make AI in oil and energy industry helpful for your operations, it’s necessary to develop it with the right approach. Devox leverages the best practices if SDLC and AI development, serving a solution that will work exclusively for you.


01. Initial Consulting

To start working on your solution, we first define the specific challenges or objectives AI will address in oil and gas production. Be it production rates optimization, reducing downtime, improving equipment reliability, or enhancing safety and environmental performance, we include this information in requirements, creating a project roadmap then.


02. Data Collection and Preparation

The next step is to collect relevant data from various sources such as sensors, SCADA systems, historical databases, and external sources. This data is then preprocessed to clean, transform, and normalize it for analysis.


03. Feature Selection and Engineering

In this stage, our domain experts and data scientists identify and extract relevant features from the data that are indicative of production performance or operational conditions. Our team conducts dimensionality reduction, feature scaling, and other techniques to improve the quality of input data for AI models.


04. Model Selection and Training

We select machine learning models based on the nature of the problem and the available data. Common models used in oil and gas production include regression, classification, clustering, and time series forecasting algorithms. Devox trains these models using historical data to learn patterns and relationships between input features and production outcomes.


05. Model Evaluation and Validation

Our engineers evaluate trained models using validation techniques such as cross-validation, holdout validation, or time-series validation to assess their performance on unseen data. Models are refined, tuned, and validated iteratively until satisfactory performance metrics are achieved.


06. Deployment and Integration

Once trained and validated, we deploy AI models into production environments and integrated with existing production systems and workflows. For this, we are developing APIs, connectors, or interfaces to enable seamless data exchange and interaction between AI models and production systems.


07. Monitoring and Maintenance

Deployed AI models are continuously monitored to ensure their key performance metrics remain consistent over time; we’re detecting drift or deviations from expected behavior and triggering alerts or interventions when necessary. Models may also require periodic retraining or updating to adapt to changing production conditions or data distributions, which is also something we provide while staying in touch.

  • 01. Initial Consulting

  • 02. Data Collection and Preparation

  • 03. Feature Selection and Engineering

  • 04. Model Selection and Training

  • 05. Model Evaluation and Validation

  • 06. Deployment and Integration

  • 07. Monitoring and Maintenance

Awards & Certifications

Industry Contribution Awards & Certifications

Check Devox Software Awards on rating & review platforms among top software development companies and Certifications our team members holds.

  • Awards
  • Certifications
  • UpWork


  • Clutch


  • The Manifest

    The Manifest

  • DesignRush



  • Clutch


  • Clutch


  • AppFutura


  • Clutch


  • GoodFirms


  • DesignRush


  • UpWork


  • Professional Scrum Master™ II (PSM II)

    Professional Scrum Master™ II (PSM II)

  • Professional Scrum Product Owner™ I (PSPO I)

    Professional Scrum Product Owner™ I (PSPO I)

  • ITIL v.3 Foundation Certificate in IT Service Management

    ITIL v.3 Foundation Certificate in IT Service Management

  • ITSMS Auditor/Lead Auditor of ISO Standard 20000

    ITSMS Auditor/Lead Auditor of ISO Standard 20000

  • Microsoft Certified: DevOps Engineer Expert

    Microsoft Certified: DevOps Engineer Expert

  • Microsoft Certified: Azure Administrator Associate

    Microsoft Certified: Azure Administrator Associate

  • Quality Assurance ISTQB Foundation Level

    Quality Assurance ISTQB Foundation Level

  • Microsoft Certified Solution Develop (MCSD)

    Microsoft Certified Solution Develop (MCSD)

  • Java Development Certified Professional

    Java Development Certified Professional

  • JavaScript Developer Certificate – W3Schools

    JavaScript Developer Certificate – W3Schools

  • Certified Artificial Intelligence Scientist (CAIS)

    Certified Artificial Intelligence Scientist (CAIS)

  • Oracle Database SQL Certified Associate

    Oracle Database SQL Certified Associate

Case Studies

Our Latest Works

View All Case Studies
Social Media Screening Platform Social Media Screening Platform
  • Backend
  • Frontend
  • Cloud Services
  • DevOps & Infrastructure

Social Media Screening Platform

The project is a web-based AI-powered platform for comprehensive social media background screening. Its supertask is to streamline potential employee background checks for companies, tackling employment risk management.

Additional Info

Core Tech:
  • .NET Core
  • Angular
  • Azure
  • Docker
  • GitLab CI/CD
  • Selenium Web Driver


Web 3 White-label PaaS NeoBank Web 3 White-label PaaS NeoBank
  • Web3
  • Fintech

Web 3 White-label PaaS NeoBank

Our client is a blockchain technology firm that has a network of international financial service provider partners. The project is a white-label PaaS ecosystem for neo banking solutions based on the blockchain network.

Additional Info



Real Estate Listing Project Real Estate Listing Project
  • Backend
  • Frontend & Mobile
  • DevOps & Infrastructure
  • Third-Party Integrations

Real Estate Listing Project

A property portal for renting and buying, our client offers a range of helpful features and mechanics to promote conscious and tailored housing choices.

Additional Info

Core Tech:
  • NET Core
  • MS SQL
  • ELK
  • Angular
  • React Native
  • NgRx
  • RxJS
  • Docker
  • GitLab CI/CD


and over 200 our featured partners and clients




The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.

Carl-Fredrik Linné
Tech Lead at CURE Media
Darrin Lipscomb
United States

We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.

Darrin Lipscomb
CEO, Founder at Ferretly
Daniel Bertuccio

Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.

Daniel Bertuccio
Marketing Manager at Eurolinx

We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.

Trent Allan
CTO, Co-founder at Active Place
United Kingdom

I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.

Andy Morrey
Managing Director at Magma Trading
Vadim Ivanenko

Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.

Vadim Ivanenko
United States

The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.

Jason Leffakis
Founder, CEO at Function4

We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.

John Boman
Product Manager at Lexplore
Tomas Pataky

Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.

Tamas Pataky
Head of Product at Stromcore
Stan Sadokov

Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.

Stan Sadokov
Product Lead at Multilogin
United Kingdom

The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.

Mark Lamb
Technical Director at M3 Network Limited


  • How can AI benefit oil and gas mining operations specifically?

    AI in oil and gas market offers significant benefits to operations by optimizing various processes, such as drilling, production, and reservoir management. For instance, AI-driven predictive maintenance systems can help prevent costly equipment failures by analyzing real-time sensor data to anticipate issues before they occur, ensuring uninterrupted operations and minimizing downtime.

    Additionally, AI-based reservoir characterization software enables more accurate prediction of subsurface reservoir properties, allowing for optimized well placement and enhanced hydrocarbon recovery rates. By leveraging AI technologies tailored to the unique challenges of mining operations, companies can improve efficiency, reduce costs, and maximize profitability in this complex industry.

  • How does AI address the environmental impact of oil and gas mining activities?

    AI plays a crucial role in mitigating the environmental impact of oil and gas mining activities through advanced monitoring, prediction, and mitigation techniques. For example, AI-powered environmental impact assessment software utilizes remote sensing technologies and machine learning algorithms to monitor air and water quality, predict potential environmental risks, and optimize remediation efforts. By identifying and addressing environmental concerns proactively, companies can minimize ecological damage, ensure regulatory compliance, and maintain a sustainable approach to resource extraction.

  • Can AI help optimize commodity pricing and market forecasting for oil and gas products?

    Yes, AI used in oil industry can significantly improve commodity pricing and market forecasting for oil and gas products by analyzing vast amounts of market data, geopolitical factors, and supply-demand dynamics in real-time. For instance, AI-driven predictive analytics models can forecast future commodity prices with greater accuracy by identifying patterns and trends in historical price data and incorporating relevant market indicators.

    Moreover, AI algorithms can analyze news sentiment, social media chatter, and geopolitical events to assess their potential impact on commodity prices, providing traders and investors with valuable insights for informed decision-making in volatile markets.

  • How does AI address the challenges of fluctuating oil and gas prices in the market?

    AI offers several strategies to address the challenges of fluctuating oil and gas prices in the market. One approach involves using machine learning algorithms to develop predictive models that forecast future price movements based on historical data, market trends, and relevant economic indicators. These models can help companies hedge against price volatility by identifying optimal timing for buying or selling commodities, managing inventory levels, and optimizing supply chain operations.

    Additionally, AI-powered risk management systems can assess and mitigate financial risks associated with price fluctuations, enabling companies to navigate market uncertainties more effectively and protect their bottom line.

  • How can AI help optimize energy resource extraction in remote or challenging environments?

    AI can play a crucial role in optimizing energy resource extraction in remote or challenging environments by enabling autonomous drilling systems, remote monitoring, and predictive maintenance capabilities. For example, AI-driven drilling optimization tools can analyze real-time drilling data and adjust drilling parameters automatically to optimize efficiency and minimize risks in harsh or inaccessible locations.

    Additionally, AI-powered predictive maintenance systems can remotely monitor equipment health and performance, detecting potential issues early and scheduling maintenance activities proactively to avoid costly downtime in remote operating environments.

  • How does AI contribute to the safety and reliability of oil and gas mining operations?

    AI contributes to the safety and reliability of oil and gas mining operations through various means, including predictive maintenance, real-time monitoring, and risk assessment. For instance, AI-driven predictive maintenance systems analyze equipment data to identify potential failure patterns and issue early warnings, allowing operators to take preventive action before accidents occur.

    Moreover, AI-powered risk assessment tools can analyze operational data and environmental factors to identify potential hazards and mitigate risks proactively, ensuring a safer working environment for personnel and minimizing the likelihood of operational disruptions.

  • Can AI help optimize energy resource extraction while minimizing environmental impact?

    Yes, AI can help optimize energy resource extraction while minimizing environmental impact by enabling more efficient and sustainable mining practices. For example, AI-driven environmental monitoring systems can analyze satellite imagery, sensor data, and environmental metrics to assess the ecological impact of mining activities and identify areas for improvement.

    Additionally, AI-powered optimization algorithms can optimize drilling and production processes to maximize resource recovery while minimizing waste generation and environmental disturbances. By integrating AI technologies into mining operations, companies can achieve a balance between resource extraction and environmental conservation, ensuring long-term sustainability and responsible resource management.

  • How can AI-driven reservoir management improve hydrocarbon recovery rates?

    AI-driven reservoir management can significantly improve hydrocarbon recovery rates by providing accurate insights into subsurface reservoir properties and optimizing production strategies accordingly.

    For example, AI-based reservoir characterization software can analyze seismic data, well logs, and production data to create high-resolution models of reservoir geometry, fluid distribution, and rock properties. These models enable engineers to identify optimal well placement locations, design effective stimulation techniques, and implement enhanced oil recovery (EOR) methods to maximize hydrocarbon extraction. By leveraging AI technologies for reservoir management, companies can unlock additional reserves and increase production yields, ultimately enhancing profitability and asset value.

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