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Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044067-MS
... and portfolio management natural language permian basin application algorithm tca URTeC: 4044067 Efficient Field Development Decisions Driven by Artificial Intelligence: A Permian Basin Example Hui Zhou*1, Johan A. Daal1, Tom Williford1, Qin Lu1, Michael Burkard1, Lee McAuliffe1, M. D. Rincones1, Rafael...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044163-MS
... in the field. One solution is to use reinforced deformable particles that adjust their shape and size in situ, though this has only been demonstrated in near wellbore fracturing applications. In this study, we will describe how compositions containing deformable particles are also useful for improving...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054007-MS
... information machine learning drilling visualization log analysis interpretation geologist artificial intelligence real time system urtec modality anomaly engineer automated well-centric interpretation representation prediction drilling operation interpolation breakout interface application...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054687-MS
.... By harnessing AI techniques, such as machine learning and neural networks, the oil and gas industry stands to optimize production, refine reservoir characterization, and mitigate operational risks. Applications of AI in reservoir data analysis sheds light on its advantages, obstacles, and future prospects...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054941-MS
... environmental impact. This paper provides a comprehensive review of the characteristics, lab testing, and field application of biosurfactants in the oil and gas industry, highlighting their role as efficient and sustainable alternatives to traditional surfactants. Introduction Enhanced oil recovery (EOR...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043501-MS
... unconventional wells that can lead to incorrect estimates of ultimate recovery (EUR) and thus, erroneous NPV calculations. This work illustrates the application a novel technique that combines variable BHP conditions with decline-curve models (Rapid RTA) to estimate the NPV and select the optimal cluster spacing...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4033730-MS
... ferrofluid displacement application geology experiment micromodel oil-based ferrofluid flow in porous media saturation urtec injection residual saturation enhanced recovery mechanism fracture water-based ferrofluid magnet in-situ valve URTeC: 4033730 Microfluidic Investigation...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043465-MS
... several recently introduced applications of FBA along with other commonly applied multi-disciplinary analysis methods. The primary objectives of this hybrid workflow are to improve asset development efficiency, drive continual well performance improvement, and minimize both capital and G...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4031992-MS
..., but the complexity and high computational demands hinder its widespread application. To address this issue, we propose a new method for predicting the inter-well interference factor (IF), which quantifies the production loss caused by interference from neighboring wells. Our approach leverages the concept...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4027567-MS
... fracturing reservoir characterization production logging downhole sensor reservoir geomechanics geological subdiscipline completion monitoring systems/intelligent wells geology reservoir surveillance production control perforation zeidouni das identification application unconventional resource...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4025119-MS
... geologist sedimentary rock geology complex reservoir hydraulic fracturing coal seam gas coalbed methane tracer test analysis coal bed methane johnson jr rock type paper leonardi flow in porous media geological subdiscipline fracture permeability gas conference application modeling...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043583-MS
... Abstract This paper focuses on the application of a novel Generative AI (GPT) model for early-stage oil and gas production forecasting. The primary objective is to demonstrate the model's ability to provide accurate production estimates with minimal historical data, a challenge that has...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4028108-MS
... fracturing processes and assess fracturing performance for practical field applications. Our proposed workflow comprises two key components: 1) A data-driven and physics-constrained model utilizing routine field measurements to forecast fracturing pressure for various injection rates and schedules...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4031362-MS
... Abstract This study aims to demonstrate the application of artificial intelligence (AI) as an advanced control mechanism for artificial lift optimization. It focuses on how AI can be utilized for automated setpoint adjustments across artificial lift wellsites, reducing the time required...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4017241-MS
... cases, including gas-oil, water-oil, and water-oil-gas scenarios. In all scenarios, the model consistently delivered promising results, effectively tracking water cut, gas-oil ratio, and free gas content along the well. This underscores the potential application value of SoS-based phase fraction...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3849448-MS
.... The geometry of the activation dart introduces new challenges for ensuring successful deployment, especially in subsea and stimulation vessel applications. In the field trials, various data sources measured during stimulation operations led to the initial interpretation that "unlimited" sleeve systems were...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3859799-MS
... geomechanics geological subdiscipline grid fine-scale simulation coupling simulation geomechanics simulation fast marching method workflow multi-resolution grid reservoir geomechanics reservoir characterization simulator application equation wellbore integrity scaling method fmm-based...
Proceedings Papers

Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3848106-MS
... Abstract Decline-curve models inherently assume that the bottomhole flowing pressure (BHP) is constant. This is a poor assumption for many unconventional wells. For this reason, the application of decline-curve models might lead to incorrect: (a) flow regime identification and (b) estimated...

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