... fracturing operations. Introduction Multi-fractured horizontal wells (MFHWs) are commonly applied to the development of low-permeability unconventional reservoirs, with the number of fracturing stages and stimulation treatments generally increasing over time. A very popular fluid choice for hydraulic...

... resistivity overlay unconventional reservoir lithology bin porosity permeability unconventional resource technology conference phit URTeC:4015915 NMR Interpretations in Unconventional Reservoirs - Application to Quality Control and Guide for Log Calculated Total Water Saturations in the Texas...

.... Abstract The objective of this study is to assess the impact of reservoir and completion parameters on the b-factor, which is a critical parameter in decline curve analysis (DCA) for unconventional reservoirs. The b-factor determines the long-term decline behavior and has the highest uncertainty among...

... clastic rock sedimentary rock reservoir optimization problem artificial intelligence geological subdiscipline geologist complex reservoir flow in porous media evolutionary algorithm permeability fluid dynamics geology rock type enhanced recovery unconventional reservoir equation...

...URTeC: 4033921 Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting Hardikkumar Zalavadia1, Sathish Sankaran2, 1.Texas A&M University, 2. Xecta Digital Labs Copyright 2024, Unconventional Resources Technology Conference (URTeC) DOI...

... operator reservoir simulation operation breakthrough eor propane unconventional reservoir URTeC: 4031314 Field Implementation and Surveillance of Gas Injection Enhanced Oil Recovery in the Bakken Jin Zhao, Lu Jin*1, Xue Yu1, Nicholas A. Azzolina1, Xincheng Wan1, Steven A. Smith1, Nicholas W...

... of this paper by anyone other than the author without the written consent of URTeC is prohibited. Abstract Parent-child well spacing and completion design optimization are critical in maximizing returns while minimizing capital expenditures for any projects to develop unconventional reservoirs. The objective...

...URTeC: 4043338 Time-Lapse Diamondoid Analysis in Unconventional Reservoirs: A New Frontier in Production Monitoring Ibrahim Atwah1*, Abdulhameed Azzouni1, Wael Alalawi1, 1. Saudi Aramco Copyright 2024, Unconventional Resources Technology Conference (URTeC) DOI 10.15530/urtec-2024-4043338 This paper...

.... By incorporating observational bias, inductive bias, or learning bias, they bridge the gap between empirical data and fundamental physics. In this paper, we showcase the application of a physics-informed machine learning system tailored specifically for unconventional reservoirs. Our methodology involves...

... lee regime transition unconventional reservoir usa probabilistic eur forecasting tlf URTeC: 4043379 A Comparative Study for Probabilistic EUR Forecasting in Shale Gas Reservoir Using Early-Time Production Data Xiaowen Duan1, Xiaolin Xu*2, Yuewei Pan1,2, Junlei Wang2, Ling Fu1, 1. PetroChina...

... Abstract A potential solution to mitigate greenhouse gas emissions during hydrocarbon recovery is to employ cyclic CO 2 injection or ‘huff-n-puff (HnP) in multi-fractured horizontal wells completed in unconventional reservoirs. This serves to simultaneously reduce CO 2 emissions and increase...

.... References Ajisafe, F., Solovyeva, I., Morales, A. et al. 2017. Impact of Well Spacing and Interference on Production Performance in Unconventional Reservoirs, Permian Basin. Presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, Austin, Texas, USA, 24 26 July. URTEC-2690466MS...

... the written consent of URTeC is prohibited. Abstract This study aims to leverage deep learning (DL) to forecast oil production dynamics, focusing on the transition from conventional to unconventional reservoirs in the Shengli Oilfield, China. Due to the discrepancy in geological characteristics...

... Abstract A study that investigated the possible benefits of including seismic into the drilling and production process of unconventional reservoirs shows that using seismic data will yield an average production increase of 32% per well compared to not using seismic. These findings are focused...

... simulation time-dependent depletion function proppant loading architecture scenario unconventional reservoir Abstract When applying machine learning (ML) methods for production prediction in Unconventional Reservoirs (UR), capturing the impact of reservoir pressure depletion from neighboring...

...URTeC: 4044074 Analytical and Machine Learning Based Modifications to Unconventional Reservoir Simulation Models to Capture NearFracture Transient Effects Hector E. Barrios-Molano*1, Alvaro Rey2, Shihao Wang1, 1. Chevron Technical Center, a division of Chevron U.S.A. Inc., 2. Chevron Gulf of Mexico...

..., located in the Midland Basin of the Permian Basin, has gained significant attention due to its important oil production (EIA, 2022). Unconventional reservoirs, including formations like Wolfcamp, have been crucial in enhancing oil and gas production in the United States. However, primary recovery from...

... or fields, playing an essential role in optimizing resource allocation, enhancing financial planning, and informing strategic decisions. This task becomes particularly complex in unconventional reservoirs, characterized by intricate geologies and heterogeneous formations. These features pose significant...

... eagle ford geologist deep learning artificial intelligence sedimentary rock machine learning complex reservoir ultimate recovery information geology reservoir surveillance nrmse production forecasting eur lstm unconventional reservoir eur prediction clastic rock rock type...

...., this novel workflow is applicable to the development of other unconventional reservoirs. deformation fracture characterization dip-slip fault hydraulic fracturing structural geology well logging reservoir characterization reservoir geomechanics geologist wellbore design wellbore integrity...