SLB’s Post

As the energy transition accelerates with more marginal fields, infrastructure-led exploration (ILX) is key. SLB have looked into leveraging cutting-edge digital tech to reduce costs, speed up payback, and lower CO₂ emissions. 🔵 AI-driven insights to streamline analysis. 🔵 Advanced modeling to reduces uncertainty. 🔵 Cloud platforms to enable real-time decisions. Curious how ILX can elevate your NCS projects and boost your team's success? Let’s connect.

This is an insightful overview of the advantages of infrastructure-led exploration (ILX) in the context of the accelerating energy transition. ILX's focus on regions with existing infrastructure is indeed a smart approach, balancing risk management and decarbonization goals effectively. The lower capex, shorter payback periods, and reduced CO2 emissions make ILX an attractive option for operators. The integration of advanced digital technologies is particularly fascinating. Automated algorithms that process petrophysical logs and interpret borehole images are streamlining workloads, allowing experts to concentrate on critical tasks. Novel modeling techniques, such as the Meshless Smart Structure and next-gen 3D analogue search, provide valuable insights by building multiscenario environments to reduce uncertainty. Moreover, cloud-based platforms that enable real-time data flow between wellsite and geoscientists/reservoir engineers are revolutionizing rapid decision-making. Excited to learn more from the expertise of Li Dan, Marie LeFranc, and Morten Kristensen on how these advanced digital workflows are transforming the exploration process. #EnergyTransition #ILX #DigitalTransformation #ExplorationInnovation #Decarbonization #SLB SLB

#DailyDealflow - We have about 200 deals/opportunities in our analysis pipeline. Here is a summary of one of them. We are trying to assess and validate if this would be a good startup/product for an investment from us. We'd love your help deciding if we should move this forward in our process. Summary: A new ergodic theory and acquisition design workflow which leads to a new generation of low-cost geophysical data acquisitions. Main Advantages of this Invention • Fewer sensors needed to cover the same area • Increased accuracy • Lower costs Potential Areas of Application • Mineral exploration • Oil and gas mapping • Geothermal exploration • Production monitoring TLDR Description: The major cost in geophysical acquisition is from the large number of sensors and receivers required and from the time required to deploy these sensors in the field. These large number of sensors needed is typically specified based on the Shannon-Nyquist sampling theory, which dictates the use of equally spaced samples. However, this sampling theory establishes the sufficient but not necessary conditions, which leaves room to reduce the number of sensors needed in most applications. Researchers have developed a new sampling theory and practical approach: ergodic sampling, which only requires a fraction of number of samples which Shannon-Nyquist theory requires to capture the same information. This sampling theory uses four efficient acquisition design criteria for practical application. Using these criteria, design specific receiver-deployment patterns using a fraction (10%-50%) of stations required traditionally by the standard Shannon-Nyquist sampling can be utilized. Two acquisition workflows for reconnaissance and prospecting stages of the geophysical exploration have been developed to use this sampling theory. For reconnaissance surveys, the same number of sensors can cover a larger area with the specially designed sensor patterns; and, for the purpose of prospecting, the same information uses only a fraction of sensors to significantly reduce the acquisition cost. Main Advantages of this Invention • Fewer sensors needed to cover the same area • Increased accuracy • Lower costs Potential Areas of Application • Mineral exploration • Oil and gas mapping • Geothermal exploration • Production monitoring

#artificialintelligence #hydrocarbons #geology #hydrogen #business #oilandgas #industry #profit Artificial intelligence (AI) has the potential to revolutionize the oil and gas industry by enhancing exploration and reservoir management processes. Oil and gas industry is facing huge challenges from new emerging options of fuel like hydrogen for vehicles, cooking gas; lithium for vehicles. Competitive hydrogen fuel production prices can have big impact on oil and gas industry businesses as a whole. Due to this oil and gas industry needs to become more cost competitive to remain in the fuel business. Here are several ways AI can bring about significant improvements in the businesses of hydrocarbon industry. https://lnkd.in/dWsU83-3

Reservoir engineering constitutes a major part of the studies regarding #geothermal exploration and production. Reservoir engineering comprises conducting experiments, constructing appropriate models, characterization, and forecasting reservoir dynamics. However, traditional engineering approaches started to face challenges as the number of raw field data increased. It pushed the researchers to use more powerful tools for data classification, cleaning, and preparing data to be used in models, which enhances a better data evaluation, thus making proper decisions. 𝐈𝐧 𝐚𝐝𝐝𝐢𝐭𝐢𝐨𝐧, 𝐬𝐢𝐦𝐮𝐥𝐭𝐚𝐧𝐞𝐨𝐮𝐬 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞𝐭𝐢𝐦𝐞𝐬 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐞𝐝, 𝐚𝐢𝐦𝐢𝐧𝐠 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐬𝐞𝐧𝐬𝐢𝐭𝐢𝐯𝐢𝐭𝐲 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐝𝐮𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐡𝐢𝐬𝐭𝐨𝐫𝐲-𝐦𝐚𝐭𝐜𝐡𝐢𝐧𝐠 𝐩𝐫𝐨𝐜𝐞𝐬𝐬. 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬 𝐡𝐚𝐯𝐞 𝐛𝐞𝐞𝐧 𝐩𝐫𝐨𝐩𝐨𝐬𝐞𝐝 𝐚𝐬 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐬𝐭𝐫𝐨𝐧𝐠 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐜𝐨𝐦𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲. 𝐑𝐞𝐜𝐞𝐧𝐭𝐥𝐲 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐝 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦𝐬 𝐦𝐚𝐤𝐞 𝐢𝐭 𝐩𝐨𝐬𝐬𝐢𝐛𝐥𝐞 𝐭𝐨 𝐡𝐚𝐧𝐝𝐥𝐞 𝐚 𝐯𝐞𝐫𝐲 𝐥𝐚𝐫𝐠𝐞 𝐧𝐮𝐦𝐛𝐞𝐫 𝐨𝐟 𝐝𝐚𝐭𝐚 𝐰𝐢𝐭𝐡 𝐡𝐢𝐠𝐡 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲. 𝐈𝐧 𝐭𝐡𝐢𝐬 𝐬𝐭𝐮𝐝𝐲, 𝐰𝐞 𝐞𝐧𝐝𝐞𝐚𝐯𝐨𝐫 𝐭𝐨 𝐫𝐞𝐯𝐢𝐞𝐰 𝐭𝐡𝐞 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡𝐞𝐬 𝐮𝐬𝐞𝐝 𝐢𝐧 𝐠𝐞𝐨𝐭𝐡𝐞𝐫𝐦𝐚𝐥 𝐫𝐞𝐬𝐞𝐫𝐯𝐨𝐢𝐫 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐠𝐢𝐯𝐞 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐚𝐫𝐞𝐚𝐬 𝐭𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞. Areas of reservoir management and reservoir monitoring are the subcategories that have the most applications of machine learning under reservoir engineering. Most works involved predicting production data such as flow rates, temperature, and pressure. Though machine learning has been applied in geothermal reservoir engineering, this study shows that there are still opportunities to improve and expand the adoption of machine learning. https://lnkd.in/d864eb4C

𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝗔𝘀𝘀𝗲𝘁 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 #### What is Integrated Asset Modeling? Integrated Asset Modeling is a multidisciplinary approach that integrates different types of models—such as geological, reservoir, production, and economic models—into a cohesive framework. This integrated approach allows for the simulation and analysis of complex interactions and dependencies among various components of an asset. By leveraging advanced computational tools and data analytics, IAM provides a comprehensive understanding of an asset's performance over its lifecycle. #### Key Components of IAM 1. **Geological Modeling**: Understanding the subsurface characteristics and properties is fundamental. Geological models incorporate seismic data, well logs, and core samples to create a detailed representation of the reservoir. 2. **Reservoir Modeling**: This involves simulating the behavior of fluids within the reservoir. It integrates data on porosity, permeability, pressure, and fluid properties to predict how oil, gas, or water will flow through the reservoir. 3. **Production Modeling**: Production models forecast the extraction of resources over time. They take into account the performance of wells, surface facilities, and equipment, providing insights into optimal production strategies. 4. **Economic Modeling**: Economic models assess the financial viability of operations. They consider capital expenditure, operational costs, market prices, and revenue forecasts to evaluate the economic performance of an asset. #### Applications of Integrated Asset Modeling 1. **Oil and Gas Industry**: In the oil and gas sector, IAM is used to optimize field development plans, enhance recovery techniques, and manage reservoirs more effectively. By integrating geological, reservoir, and production models, operators can maximize hydrocarbon recovery while minimizing costs. 2. **Mining Sector**: IAM helps mining companies manage resources more efficiently. It integrates geological models with operational and economic data to optimize extraction processes, reduce waste, and improve sustainability. 3. **Renewable Energy**: For renewable energy projects, such as wind farms or solar plants, IAM can optimize site selection, resource assessment, and operational efficiency. By integrating meteorological data with economic models, it ensures that projects are both technically feasible and financially viable. Photo refrence, credit : https://zendym.com/

I am happy to announce! Eugeniustechnologies LTD: Pioneering the Future of Oil Exploration and Recovery. In an era of innovation and transformative technology, our company is thrilled to announce a groundbreaking step forward. We are excited to introduce our cutting-edge equipment designed to revolutionize the oil and gas industry – an automated solution for unlocking hard-to-reach oil wells and revitalizing oil fields. Unleash the Potential: Automation for Oil Wells Imagine a world where oil exploration isn't confined by geography. With our state-of-the-art equipment, we are breaking the barriers that once limited access to oil reserves in challenging environments. Our automated solutions combine the power of robotics, AI, and advanced sensors to navigate and extract oil from remote and hard-to-reach locations. Elevating Efficiency: The Heart of Our Innovation Our equipment isn't just about technology; it's about efficiency and effectiveness (automated systems perform tasks such as monitoring, and maintenance with unmatched precision, reducing operational costs, and minimizing human exposure to potentially hazardous conditions). Data-Driven Excellence: AI at the Helm In this era of data-driven decision-making, our automated oil well solutions are at the forefront. AI-powered analytics optimize drilling parameters, detect anomalies, and predict potential issues in real-time. This not only maximizes oil recovery but also provides vital insights into reservoir behavior, empowering our partners to make informed and strategic choices. Sustainability Redefined: Revitalizing Oil Fields Our commitment to sustainability goes beyond exploration. Our equipment revitalizes aging oil fields, extending their productive life and aligning with industry-wide environmental goals. By managing production rates, identifying well failures, and optimizing maintenance, we contribute to both profitability and responsible resource management. Join Us on this Journey: Partners and Investors Invited. As we embark on this transformative journey, we extend a warm invitation to potential partners and investors who share our vision of reshaping the oil and gas industry. Together, we can create a future where energy exploration and recovery are not only efficient but also sustainable and responsible. At Eugeniustechnologies LTD, we believe that innovation has the power to reshape industries and improve lives. The future of oil exploration and recovery is here. Join us as we redefine possibilities, pioneer sustainability, and make history in the world of energy. Let's build a brighter future together. For inquiries and partnership opportunities, please contact us at [email protected] or https://lnkd.in/ds2bJ_wc The journey begins now. #oil #gas #money #investors #ai #gold #partners #startup #raisingmoney #automation #advisors #investments #usa #gb #uae #dubai #saudiarabia #london #newyork

According to McKinsey, global electrification is expected to push annual copper demand to 36.6 million tonnes by 2031, up from the current demand of roughly 25 million tonnes. However, the firm forecasts a supply of only 30.1 million tonnes, indicating a looming gap of 6.5 million tonnes as we enter the next decade. Bridging this gap necessitates the discovery of new copper deposits. While resources outcropping at the surface have largely been identified, our expertise in subsurface allows us to look deeper. By understanding genetic conditions of sedimentary copper formation and integrating this knowledge with our comprehensive geological and earth science data, powered by AI, we're opening new search spaces for our clients to locate this critical mineral. In our blog, we test the potential of central Europe, not only validating historical copper production sites but also unveiling new areas ripe for exploration: https://lnkd.in/eyXuqXSy #GTC #Copper #CriticalMinerals #BatteryMetals #EnergyTransition #Decarbonisation #Electrification #AI #ML #Exploration