... fraction tracking for production logging in multiphase horizontal wells. The methodology, along with its advantages over existing methods, is thoroughly explained and explicitly provided in a step-by-step workflow. We also acknowledge and demonstrate the limitations of the method, especially those...

... to match actual production data. The primary objective is to minimize errors in predicted rates of oil, gas and water vs. actual production by adjusting reservoir parameters. The ultimate goal is an optimized, semi-automated RTA workflow requiring minimal human intervention, providing a robust starting...

... seismic data and integrating with other reservoir properties is crucial for any quantitative reservoir characterization workflow which further aids in defining landing zones for optimal fracture stimulation. In this case study, we describe a workflow that integrates petrophysical data with a machine...

... of the horizontal wells lack logging data due to poor borehole conditions. This leads to the well performances being uncertain on account of the imprecise completion design without logging data. The scope of this paper is to show a comprehensive shale reservoir evaluation workflow based on novel cased-hole...

...-section is $2.1 million (MM), while 4 wells spaced at 660 feet with reduced completion intensity achieved $21.47 MM. URTeC: 4023356 2 The optimal parent-child well spacings are recommended for different parent well depletion durations. In addition to demonstrating our comprehensive workflow, the results...

... by combining a reduced-physics reservoir model called reservoir graph network (RGNet) with a novel surface network optimization workflow for integrated optimization from the reservoir to the separator. Traditionally, reservoir dynamics for integrated asset modeling is often simplified using a set of tank...

... Abstract In this paper, we present an automated data-driven workflow using Machine Learning (ML) for gas lift optimization in unconventional fields. This workflow integrates a ML model that accurately forecasts the Gas Lift Performance Curve, and a Bayesian Optimization Framework to solve...

... for model calibration and a long turnaround for history matching, which became especially challenging for operators to scale to many wells and in a fast cadence to accommodate the rapid speed in shale and tight asset development. In this paper, we present a workflow that combines probabilistic modeling...

...URTeC: 4043465 A New Hybrid Workflow for Cost-Effective and Efficient Field Development Planning and Execution J.D. Williams-Kovacs1, D. Deryushkin1, B. Hepburn2, N. Alexander2 and C.R. Clarkson3. 1. Subsurface Dynamics Inc., 2. Whitecap Resources Inc., 3. University of Calgary. Copyright 2024...

... and a physics-informed machine learning (PIML) method. With these methods, we can obtain well connectivity in a minimum viable pattern and other model parameters while simultaneously matching the data and enhancing the forecasting accuracy of RGNet models. The proposed workflow was applied to both a synthetic...

... allocation based on the DAS signal was done using standard workflow for different frequency bandwidths. The proppant allocation based on the estimates of eroded perforation diameter was done with the Monte Carlo simulations that account for uncertainty of the initial hole diameter. The developed Monte Carlo...

... sensing over the past decade, quantitative production profiling using data acquired from distributed fiber optics (DFO) has gained momentum. In this work, an integrated workflow to analyze the distributed temperature and acoustic signals during production is presented, along with two case studies...

...URTeC: 4040968 A Deep Learning Workflow for Integrated Geological, Petrophysical, and Geomechanical Interpretation Vanessa Simoes*1, Atul Katole1, Bhuvaneswari Sankaranarayanan1, Tao Zhao1, Aria Abubakar1, 1. SLB. Copyright 2024, Unconventional Resources Technology Conference (URTeC) DOI 10.15530...

... workflow enables (a) relative permeability and absolute permeability measurements performed in significantly shorter times compared to conventional techniques, (b) fluid-flow measurements in tight rock samples without the need for specialized and expensive equipment, (c) minimal impact of the saturation...

... Abstract The scope of this paper is to introduce a non-invasive simplified workflow that estimates perforation efficiency utilizing raw stimulation data. The paper illustrates how results from this simplified workflow were accurately and successfully benchmarked against industry-known...

... fracture injection pressure clastic rock rock type reservoir geomechanics sindy scenario workflow sparse regression drillstem testing urtec model prediction application fracture fracture geometry URTeC: 4028108 Predicting Hydraulic Fracture Injection Pressure Using Hybrid Model...

... on the assumptions built into inventory planning. The result is a workflow for teams to explore an enormous number of realizations of various training data and feature sets in hours instead of months. With these tools, engineers can create accurate forecasts for future wells to better inform development planning...

... in reservoir is changed. In such conditions, natural fractures in the vicinity of the treatment well may exceed slip tolerances in critical stress states. The shear slip of fractures in turn could lead to casing deformation events. In this study, a numerical simulation workflow was setup, based...

... degradation but also how those mechanisms interact with child well frac hits on parents and preexisting parent well depletion (King et al., 2017). Previous efforts leveraging analytical modeling and RTA workflows proved difficult to match early-time and late-time trends. More importantly, correction...

... of the horizontal well landing window in the pilot well. The objective of this study is to characterize the vertical heterogeneity of the shale oil reservoir and optimize the landing window to maximize productivity. This paper proposed an integrated workflow by combining gamma-ray spectroscopy, 2D nuclear magnetic...