Ibrahim Muhammad Kado’s Post

📍 Capacitance Resistance Model - A session by Dr. Larry Lake. Quick bit : The Capacitance Resistance Model (CRM) is a data driven method for characterizing a reservoir and optimizing its oil production without complex and time-consuming reservoir simulations or the need for geological modeling. (Source : Blog by Emilio Nunez , SPE connect) Thanks Prof. John Hedengren for brilliant content on APMonitor dot com.

Are you exploring or developing assets in Norway? If so, how long does it take you to find, extract, and quality control PVT data? We understand the challenges you face. That’s why we’ve created a centralised, structured, and expertly reviewed PVT database. Access the information you need in minutes—no more searching for days or weeks, as many of our customers have experienced. Download our brochure to learn more: https://lnkd.in/gJZsRwmm

"Beyond ensuring the quality of the data you work with and that your data set is as complete as possible, another essential component is accessibility. The greater the data access, the greater the ability to create a thorough understanding and knowledge that drives asset integrity decision-making." Read our new post with thoughts provided by Brian Hall and Bill Whitelaw on how data accessibility empowers asset intelligence and integrity. ▶️ https://bit.ly/4ei7UPM #gdm #givingdatameaning #data #access #assetintelligence Marc Lehmann Vicki Robinson Jen Roney geoLOGIC systems ltd.

Asset intelligence and asset integrity are critical to how energy companies reduce risk and operate assets effectively from design to decommissioning. It was a pleasure to work with the team at GDM Inc. to share insights into data accessibility and asset integrity management — especially necessary in industries like oil and gas, where infrastructure ages and assets may change hands multiple times through mergers and acquisitions. #abtech #contentwriter #albertaenergy #contentmarketing

In our Q3 Crude Webinar, we dove into how there is more to the Double H converting from Crude to NGLs story than meets the eye. Learn why this is important: https://hubs.ly/Q02JNLHR0

"Data doesn’t just tell the story; it writes the future of your well." Imagine this: You’re trying to bake the perfect cake. You’ve got the ingredients, but no recipe or thermometer. The result? A gamble. The same applies to optimizing oil wells. Without precise, real-time data, you're operating on guesswork—and that’s no way to unlock full potential. At GEO Pressure Systems Inc. we believe high-quality data is the recipe for success in the oilfield. Accurate downhole measurements empower you to make informed decisions, boost production, and ensure efficiency at every stage. It's like having a well-calibrated GPS for your well: it tells you exactly where you're headed and how to get there, avoiding costly detours. Question for you: What’s been the most surprising insight you’ve uncovered thanks to better downhole data? Share your story—I’d love to hear it! 👇

🛢️Hey oil & gas community⛽ 📊 We recently explored the process of generating type curves using our Analytics for Energy Decline Curve Fitting Workflow. This feature offers a streamlined approach for reservoir engineers to create accurate type curves from historical production data, enhancing decision-making in oil and gas analysis. ⚙️ 🎯In the demonstration, we utilized a well set from the Bearcat Lease, selecting multiple wells from Glasgow County for analysis. Using Spotfire, we applied the type curve model controls to aggregate production data based on elapsed time. ⏳ This method normalizes well production from time zero, ensuring consistency across the dataset. 🔑A key feature discussed was the minimum curve count threshold, which addresses survivorship bias. 📉 By setting this threshold at 50%, we ensure that the type curve isn’t skewed toward long-lived wells, creating a more representative production model. 💪Once configured, the type curve was generated, with options for further normalization and analysis using the Markov Chain Monte Carlo (MCMC) diagnostics. 🔄 This provides insights into uncertainty across various parameters, offering a deeper understanding of potential production outcomes. 📈 💰This workflow exemplifies how easy it is to generate reliable type curves while addressing critical factors like data normalization and uncertainty, empowering professionals to make more informed economic evaluations. Check out the video right here 👇👇👇 https://lnkd.in/gXnVvGTv 💡 #OilAndGas 🛢️ #Analytics 📊 #DeclineCurveAnalysis 📉 #Spotfire 🔍 #TypeCurve 📈 #MCMC 🔄 #ReservoirEngineering ⚙️ #EnergyTech 💡 #DataAnalysis #oil #gas

Reservoir simulation models are crucial for predicting reservoir performance. Investing in high-quality data and software can lead to more accurate forecasts and better decision-making. 

Q3 Crude Webinar Key Takeaways: Double H converting from Crude to NGLs is indicative of the new landscape in the Bakken, increasing NGL egress flexibility. Learn why you should care: https://hubs.ly/Q02JNZVz0

Struggling with sparse, complex reservoir data? Q-SCAL can help! This software simplifies loading, storing, and analysing ALL your SCAL data, maximising its integrity and value for reservoir evaluation. Boost your efficiency and make smarter decisions. Learn more about Q-SCAL: https://bit.ly/2VyC2gR #DataAnalysis #OilAndGasIndustry #PetroleumEngineering