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1、NAVIGATING THE FUTURE OF OIL&GASWith Generative AIWhere Gen AI stands in oil&gas and where its heading,featuring findings from a 2024 commissioned study by Forrester Consulting for SoftServe ReportNavigating the Future of Oil&Gas With Generative AI2TABLE OF CONTENTS Navigating the Future of Oil&Gas

2、With Generative AIKey FindingsAdoption and ProgressData and Technology UsePartnerships and Future DirectionsGoals and Strategic NeedsGen AIs Role in Transforming Traditional PracticesAdoption Trends in Oil&Gas Moving Beyond Pilots to Full IntegrationStrategic Prioritization of AI Use CasesThe Role o

3、f AI PartnersTechnical ExpertiseUpskilling and AdaptationInfrastructure UpgradesEdge Computing and IoT IntegrationData Management and Governance Managing Data From Multiple SourcesRegulatory Compliance and Data Security11122789910111166612131161113157Executive SummaryIntroduction to Gen AI in Oil&Ga

4、sBuilding a Strategic AI Roadmap for SuccessKey RecommendationsMethodologyChallenges to Scaling Gen AIReportNavigating the Future of Oil&Gas With Generative AI3Adoption of Gen AI46%of oil and gas companies are advancing quickly in their Gen AI journey,with projects already rolled out or in the proce

5、ss of scaling to production.Reliance on Enterprise Data 52%of oil and gas experts report that their organizations rely on enterprise data to train Gen AI models,but they face challenges in consolidating and streamlining it.Impact on Operations 59%of respondents are currently applying Gen AI in suppl

6、y chain management,with 22%planning to scale its use within the next 12 to 18 months.Types of Data Used in Gen AI Models Organizations are leveraging a variety of enterprise data types in their Gen AI models,with 66%using operational data,54%using public data,and 49%incorporating customer data.Reali

7、zed Business Value From Gen AI More than half of oil and gas respondents reported experiencing or having already experienced the maximum business value Gen AI can bring to their organizations.EXECUTIVE SUMMARYThe oil and gas industry is undergoing a significant shift,with Generative AI(Gen AI)taking

8、 center stage as a key tool for innovation and operational efficiency.From exploration to supply chain management,Gen AI is beginning to change how companies approach their most pressing challenges.A recent study,commissioned by Forrester Consulting on behalf of SoftServe,provides a detailed look at

9、 how the oil and gas sector is adopting Gen AI.The survey shows that interest in Gen AI is widespread,with companies exploring its potential across areas like data analytics,IT,engineering,and operations.However,many organizations are still navigating hurdles particularly around upgrading infrastruc

10、ture,improving data governance,and scaling beyond initial pilot projects.While many oil and gas companies have taken the first steps with Gen AI,few have fully integrated it into their core operations.The need for clearer strategic roadmaps and prioritization of key Gen AI initiatives remains critic

11、al to unlocking its full potential.Even so,theres growing recognition of the value Gen AI brings,from improving process efficiency to enabling predictive maintenance and real-time decision-making.Key Findings:Adoption and ProgressData and Technology Use ReportNavigating the Future of Oil&Gas With Ge

12、nerative AI4Future Use of Technology Partners 88%of oil and gas experts plan to increase or significantly increase the use of technology partners for their Gen AI initiatives moving forward.Top Gen AI Goals The top five Gen AI goals for oil and gas companies today are improving software development,

13、business strategy,research&development,customer engagement,and operational efficiency.Critical Needs for Scaling Gen AI Four areas of need were identified to fully realize Gen AI capabilities:technical expertise,infrastructure upgrades,data governance,and strategic planning.Need for Advanced Technic

14、al Partnerships Most respondents agree or strongly agree on the need for partners with advanced technical capabilities to realize transformational value from Gen AI,though many are dissatisfied with existing partners.Key Areas for Improvement in Gen AI Strategy Oil and gas companies identified three

15、 main areas where improvement is needed:Improving the speed of prototyping across new use cases Improving language model accuracy Enhancing the ability to leverage data effectively Partnerships and Future Directions Goals and Strategic Needs ReportNavigating the Future of Oil&Gas With Generative AI5

16、SoftServes Generative AI Lab helps businesses achieve faster,better results with Gen AI by transforming great ideas into real-world solutions.The lab collaborates with leading platforms like AWS,Google Cloud,Microsoft Azure,and NVIDIA,leveraging the latest tools and technologies.With a strong focus

17、on research and development,the lab takes a results-driven approach,applying proven use cases and a robust assessment framework to turn Gen AI into a practical reality across industries.SOFTSERVES GENERATIVE AI LAB Key Focus Areas:Improving AI models Integrating multimodal AI (multiple types of data

18、)Reducing costs Managing AI operations (LLMOps)LEARN MORE ABOUT OUR GEN AI INNOVATIONS Enthusiasm for Gen AI has been widespread in the oil and gas sector,but much like in other industries,pilot programs have been implemented across departments without a clear focus.This lack of a strategic roadmap

19、is limiting the full realization of Gen AIs business potential.In this report,we explore these findings and offer actionable insights for oil and gas companies seeking to leverage Gen AI to its full potential.ReportNavigating the Future of Oil&Gas With Generative AI6INTRODUCTION TO GEN AI IN OIL&GAS

20、 Gen AI is a powerful tool that can generate new insights and predictions by analyzing large sets of historical data.In the oil and gas industry,its becoming a game changer,with the potential to transform everything from exploration to refining.By automating complex tasks,processing data in real tim

21、e,and delivering actionable insights,companies can streamline their operations,lower risks,and improve overall performance.Oil and gas companies have long relied on legacy systems and traditional methods for exploration,drilling,and operations.With increasing pressure to improve operational efficien

22、cy,reduce environmental impact,and enhance safety standards,the adoption of AI technologies is becoming more critical.Gen AI,in particular,is being integrated into several key areas,including:Gen AI adoption is progressing within the oil and gas industry,with many companies taking the first steps by

23、 moving beyond pilot stages and implementing production-scale solutions.Among the 130 respondents,36 are deploying prototypes,60 have rolled out Gen AI at an initial production scale(V1),and 34 are preparing to roll out the next version,showing a commitment to advancing Gen AI capabilities.While thi

24、s data highlights a substantial shift from pilot deployments to production-ready applications,only a portion of these organizations are actively scaling AI solutions across core operational functions.This trend suggests that,while adoption is underway,full integration of Gen AI into core operations

25、remains limited for many,indicating there is still progress to be made before Gen AI becomes an embedded part of their business processes.Exploration:Gen AI is helping geologists and engineers analyze seismic data more effectively,accelerating the identification of viable drilling sites while minimi

26、zing exploration costs.Drilling Optimization:Gen AI-driven systems allow for real-time monitoring and adjustments during the drilling process,resulting in fewer errors and improved drilling efficiency.Data Management:From refining to pipeline management,Gen AI is transforming how data is integrated

27、and analyzed,ensuring that decisions are based on the most accurate,up-to-date information.Gen AIs Role in Transforming Traditional Practices Adoption Trends in Oil&Gas Moving Beyond Pilots to Full Integration While Gen AI is being piloted across various departments,many organizations are still navi

28、gating the shift from experimentation to full-scale implementation.According to the survey,on average across each departmental use case 32%of companies are using Al but have no immediate plans to expand it.This reflects a cautious approach as organizations assess the impact of AI and address practic

29、al challenges,such as infrastructure readiness and data governance.ReportNavigating the Future of Oil&Gas With Generative AI7CHALLENGES TO SCALING GEN AI Despite broad interest in Gen AI,the survey reveals that many organizations face challenges in fully integrating Gen AI solutions across their ope

30、rations.The most common hurdles include:This cautious,exploratory approach suggests that while enthusiasm for Gen AI is high,companies are still identifying the most impactful applications and addressing the barriers to scaling AI effectively.As they move toward full-scale adoption,organizations mus

31、t tackle three key challenges critical to the success of their AI initiatives:technical expertise,infrastructure upgrades,and data governance.Overcoming these obstacles is essential to fully realizing Gen AIs potential.Below,we examine each challenge in more detail.The oil and gas industry is underg

32、oing a shift as Gen AI technology becomes more widely adopted,but concerns remain around the availability of skilled talent capable of fully implementing and scaling these Gen AI solutions.According to the survey,99%of respondents expressed at least some concern about their organizations current abi

33、lity to execute Gen AI initiatives due to gaps in technical expertise.How concerned are you with your organizations ability to execute Gen AI priorities using current levels of internal and external expertise?of respondents are currently using Gen AI but have no immediate plans to expand its use,ind

34、icating ongoing evaluations of the technologys impact.of respondents plan to expand their Gen AI initiatives in the next 12 to 18 months,showing cautious optimism about the technologys future.of respondents are still in the early stages of Gen AI adoption,exploring potential use cases and assessing

35、business value.32%30%15%Technical Expertise Not very concernedSomewhat concernedModerately concernedVery concerned1%15%49%35%ReportNavigating the Future of Oil&Gas With Generative AI8The demand for Gen AI specialists with expertise in data integration,model optimization,and advanced use case develop

36、ment is growing rapidly.Oil and gas companies face significant challenges in finding and retaining this talent,as the sectors unique demands require highly specialized knowledge.Collaboration between engineers,data scientists,and Gen AI experts is critical to developing effective and scalable soluti

37、ons.SoftServe addresses this need with over 100 AI and data science experts,including PhDs,and 500+specialists in business intelligence,big data,IoT,AR/XR/VR,and robotics.This expertise enables SoftServe to deliver tailored AI solutions designed to overcome the specific challenges of the oil and gas

38、 sector.Key Insight:Partnering for Success The survey also revealed that 89%of respondents(Agree+Strongly Agree)believe their organization needs partners with more advanced technical capabilities to fully unlock Gen AIs value.This underscores the importance of internal talent development combined wi

39、th strategic partnerships to scale AI applications effectively and achieve business goals.As the demand for AI talent grows,oil and gas companies must also focus on upskilling their current workforce.Transitioning employees from traditional roles into AI-related positions will not only help close th

40、e skills gap but also ensure that the organization has a workforce capable of adapting to rapidly changing technology landscapes.This is especially important given the complex and technical nature of oil and gas operations,where AI implementation can have a direct impact on safety,efficiency,and cos

41、t reduction.A relevant example is SoftServes own internal AI team,which experienced a 20%increase in staffing between 2023 and 2024,driven by the rising demand for AI talent.To meet the growing demand,many of SoftServes top AI experts underwent specialized training to keep pace with developments in

42、Gen AI,ensuring that they were equipped to handle the evolving challenges in industries like oil and gas.Upskilling and Adaptation ReportNavigating the Future of Oil&Gas With Generative AI9As oil and gas companies scale their AI initiatives,infrastructure upgrades are becoming a critical focus.AI im

43、plementation requires significant computing power,real-time data processing capabilities,and robust data storage solutions.The survey results indicate a strong need for improvements in several areas:Given the decentralized nature of oil and gas operations,especially in remote fields and offshore rig

44、s,infrastructure upgrades must extend beyond the central data center.Edge computing is emerging as a critical enabler of AI,allowing real-time data to be processed closer to the source.IoT devices,coupled with advanced sensors,feed data directly into AI systems,enabling faster decision-making and mo

45、re responsive operational adjustments.Infrastructure Upgrades Edge Computing and IoT Integration of respondents highlighted the importance of improving the speed of prototyping across new use cases.identified a specific need to enhance the infrastructure for training and running AI models.noted the

46、necessity to improve their ability to leverage data,including data quality and readiness,to support AI more effectively.As AI models in the oil and gas sector become sophisticated,organizations are quickly realizing that their existing infrastructure may not be sufficient to support real-time data i

47、ntegration,model training,and operational scaling.This concern is particularly relevant in areas like offshore drilling and remote field operations,where reliable,high-performance infrastructure is essential to maintain the integrity of AI-driven insights.To meet the demands of AI-driven workflows,c

48、ompanies are increasingly investing in cloud infrastructure,edge computing,and IoT-enabled devices to collect,process,and analyze data at the source.However,this requires not only financial investment but also a strategic shift in how companies manage and deploy their technological resources.Key Ins

49、ight:DISCOVER EDGE COMPUTING IN ACTION Improve efficiency and decision-making with SoftServes EdgeInsight solution.See how edge computing and IoT integration power real-time data processing and smarter operations for the energy sector.Explore Edge Insight35%21%30%ReportNavigating the Future of Oil&G

50、as With Generative AI10As the oil and gas industry integrates Gen AI into operations,the need for robust data management and governance frameworks is increasingly urgent.Survey results reveal a strong demand for improvements in these areas,with many organizations identifying challenges in consolidat

51、ing,securing,and optimizing their data to support AI initiatives effectively.Data Management and Governance Survey Findings on Data Management Needs:Consolidating Data for Gen AI Models:Data Quality and Model Accuracy:Key Areas Needing Improvement:Respondents pointed out several critical areas that

52、need enhancement for successful Gen AI adoption:of respondents(combining Agree and Strongly agree)indicated that their organization requires support in consolidating and streamlining enterprise data for Gen AI models.This high level of agreement highlights the ongoing struggle to manage complex data

53、sets across distributed systems effectively.of respondents noted the necessity of improving their organizations ability to leverage high-quality data,an essential factor in achieving accurate AI predictions and insights.92%Improving Gen AI governanceImproving data securityEnsuring model reliability

54、in productionImproving data privacy26%28%22%23%Effective data governance is especially critical in the oil and gas sector,where real-time data from sensors,drilling operations,and supply chain systems must be both accurate and secure.However,many companies struggle with siloed and inconsistent data,

55、creating challenges for implementing AI across various operational areas.As a result,having consistent data quality and clear governance protocols is essential to maximize the value and accuracy of AI-driven insights.Key Insight:30%ReportNavigating the Future of Oil&Gas With Generative AI11Oil and g

56、as operations generate massive volumes of data from multiple sources,including seismic surveys,drilling reports,and IoT sensors in the field.Without a unified approach to managing and governing this data,AI models may miss key insights or deliver inaccurate predictions.To address these challenges,co

57、mpanies are beginning to adopt centralized data platforms and governance frameworks that ensure data integrity across the entire value chain.These systems allow organizations to break down data silos,maintain data accuracy,and ensure that sensitive operational data remains secure.Oil and gas compani

58、es must navigate complex regulatory environments,particularly when dealing with environmental data,emissions reporting,and safety protocols.Ensuring that AI systems comply with these regulations requires stringent data governance practices that prioritize security and compliance at every stage of th

59、e data lifecycle.While interest in Gen AI is growing,many oil and gas companies lack a clear roadmap to scale their AI initiatives effectively.According to the survey,many respondents have yet to establish a formal strategy or set clear priorities for their AI projects.This gap often results in disc

60、onnected efforts across departments,with pilot programs pursued in silos rather than as part of a cohesive strategy.Respondents identified several key areas where support is needed to establish priorities and plan effectively:In addition to data quality,regulatory compliance,and data security are ma

61、jor concerns for AI-driven operations.Managing Data From Multiple Sources Building a Strategic AI Roadmap for Success Regulatory Compliance and Data Security of respondents indicated they are very concerned about their organizations ability to manage regulatory compliance,while another 38%reported b

62、eing moderately concerned.need help improving their Gen AI strategy roadmap of organizations,in total,expressed significant concern,with an additional 22%being somewhat concerned.These figures underscore that nearly all organizations are grappling with compliance challenges as they scale AI.require

63、support identifying use cases for pilot projects need guidance on selecting use cases for production deployment 76%30%28%14%27%ReportNavigating the Future of Oil&Gas With Generative AI12A robust,clearly defined AI roadmap is essential for prioritizing impactful use cases,aligning efforts across depa

64、rtments,and scaling AI solutions.Companies that develop these foundational elements can better navigate the complexities of Gen AI,focusing their resources on initiatives that drive meaningful business outcomes.SoftServe is uniquely positioned to assist with these challenges,partnering with AWS,Goog

65、le Cloud,Microsoft Azure,and NVIDIA on Gen AI initiatives.These collaborations ensure that organizations can leverage cutting-edge technology and expert guidance to create and execute effective AI roadmaps.Key Insight:Strategic Prioritization of AI Use Cases For many oil and gas companies,the challe

66、nge lies in identifying and prioritizing AI use cases that have the most potential for operational impact.AI initiatives in exploration,drilling optimization,and predictive maintenance hold great promise.However,without a defined roadmap,companies may struggle to focus their resources on the most va

67、luable areas.Knowledge and Drilling Data Mining:Gen AI mines vast unstructured data industry reports,technical documents,and drilling data to refine drilling strategies,reduce costs,and optimize equipment health and well performance.Data-Driven Well Profile Advisory:By using historical well data,Gen

68、 AI optimizes well construction design,enhancing efficiency and safety in well operations.Staff Onboarding and Training:Gen AI conducts interactive and rapid onboarding,assessing knowledge and readiness across job roles.Field Operation Assistance:Gen AI delivers real-time guidance to field workers,p

69、roviding solutions for daily operational challenges and complex maintenance tasks.Safety Monitoring and Compliance:Gen AI enhances safety by analyzing multi-camera video streams,delivering real-time alerts and improving compliance with safety protocols.Strategic Gen AI Use Cases for Oil and Gas:Repo

70、rtNavigating the Future of Oil&Gas With Generative AI13A well-defined roadmap helps ensure that AI projects are aligned with broader business objectives,such as increasing operational efficiency,reducing environmental impact,and improving safety protocols.Companies that successfully implement AI roa

71、dmaps are able to allocate resources more effectively,reduce duplication of efforts,and accelerate their time-to-value.Another barrier to successful Gen AI implementation is the limited use of external partners to assist with prioritization and roadmap development.According to the survey,only 35%of

72、respondents are working with AI experts or consulting firms to help identify emerging use cases and prioritize their AI initiatives.This suggests a missed opportunity for many organizations,as external experts can bring valuable insights,streamline the AI adoption process,and guide companies through

73、 common pitfalls.Companies that prioritize and roadmap their AI initiatives effectively are better positioned to achieve sustained growth and success as they scale AI solutions across their operations.The Role of AI Partners Key Recommendations The successful implementation and scaling of Gen AI in

74、the oil and gas industry requires strategic planning,infrastructure enhancements,and a focus on talent development.Based on the survey findings,here are four key recommendations to help oil and gas companies maximize the value of their AI initiatives:A structured AI roadmap is crucial for aligning A

75、I initiatives with the organizations strategic goals.The survey revealed that 58%of respondents have yet to establish formal AI roadmaps,leading to disconnected efforts and missed opportunities.To fully integrate AI into core operations,companies should:Identify high-impact use cases in exploration,

76、drilling,and maintenance.Set clear milestones and success metrics for AI adoption.Ensure that AI initiatives align with business objectives such as efficiency,safety,and sustainability.AI applications in oil and gas demand robust infrastructure to handle the complexity and volume of data generated b

77、y operations.With 73%of respondents expressing concern over their current infrastructures ability to support AI,organizations should:Invest in edge computing to enable real-time data processing in remote or offshore operations.Upgrade cloud infrastructure to support large-scale data integration and

78、model training.Implement IoT solutions that can feed high-quality,real-time data into AI systems for better decision-making.Develop a clear AI roadmap Invest in scalable infrastructure 12ReportNavigating the Future of Oil&Gas With Generative AI14Data quality and governance are critical for the succe

79、ss of AI-driven operations.Poor data governance can lead to inaccurate predictions and inefficient use of AI.Given that 65%of respondents are concerned about their data governance capabilities,companies should:Establish a centralized data platform that ensures data consistency and quality across the

80、 organization.Implement security and compliance protocols that protect sensitive data,particularly in regulatory areas such as emissions and safety.Break down data silos to allow for seamless data flow across departments,improving the accuracy and utility of AI insights.By following these recommenda

81、tions,oil and gas companies can overcome the challenges of AI adoption,streamline operations,and unlock new efficiencies across the value chain.SoftServe partnered with Vital Energy to implement a CCTV Camera Chatbot Assistant.This Gen AI-powered tool monitors vehicles and site activity,providing re

82、al-time updates and improving safety and efficiency.With the increasing demand for AI expertise,oil and gas companies must prioritize workforce upskilling and seek external partnerships to bridge the skills gap.The survey found that 35%of respondents are working with external AI experts,suggesting t

83、hat many organizations could benefit from additional support in prioritizing and scaling their AI initiatives.To address this:Invest in training programs to upskill engineers,data scientists,and technicians in AI tools and methodologies.Leverage AI partners to accelerate roadmap development,identify

84、 emerging use cases,and avoid common pitfalls.Ensure that internal teams are equipped to collaborate effectively with AI experts,maximizing the potential of AI solutions.Strengthen data governance frameworks Upskill the workforce and leverage AI partners 34TRY THE CCTV CAMERA ASSISTANT DEMO VITAL EN

85、ERGY:SMARTER SITE MONITORING WITH GEN AI ReportNavigating the Future of Oil&Gas With Generative AI15METHODOLOGY In this study,Forrester conducted a global online survey involving 777 decision-makers across various industries who are engaged in technology purchasing related to Gen AI among which 130

86、worked in the oil and gas sector.The goal was to assess the effectiveness of their current adoption strategies.Participants were questioned about their organizations Gen AI technology,infrastructure,skill development,governance strategies,and the value derived from their existing use of Gen AI.As a

87、token of appreciation for their time,respondents received a small incentive.The study commenced in January and concluded in February 2024.Please note that percentages may not add up to 100 due to rounding.SoftServe partners with energy leaders to deliver innovative AI solutions designed for the uniq

88、ue challenges of the oil and gas industry.Ready to tackle your biggest challenges?Explore the full global study covering all industries to uncover challenges,solutions,and key insights.Compare how oil and gas findings align with trends across other sectors.READ THE FULL STUDY HERECONTACT US TODAYSEE

89、 HOW OIL AND GAS COMPARES NORTH AMERICAN HQ201 W.5th Street,Suite 1550 Austin,TX 78701+1 866 687 3588(USA)+1 647 948 7638(Canada)EUROPEAN HQ30 Cannon StreetLondon EC4 6XHUnited Kingdom+44 333 006 4341 ABOUT USSoftServe is a premier IT consulting and digital services provider.We expand the horizon of

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