Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"Production Forecasting"”.
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PRODUCTION FORECASTING FOR SHALE OIL: WORKFLOW
… workflow has been generally accepted to forecast production and estimate reserves for shale oil. To fill this gap in technology, we proposed and validated a workflow that integrates analytical methods with empirical methods. The final methodology is both easily applied and accurate. In developing …
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Gas production forecasting using automatic type curve matching
… to model gas wells decline.;Different history productions were matched with these type curves using a computer program, which find the closest production decline to the available time/gas rate. In order to find the matched type curve, the program iterate on non-Darcy effects, bottom hole …
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Probabilistic Oil and Gas Production Forecasting using Machine Learning
… by quantifying the uncertainty of the production-forecasting process, using probabilistic machine learning (ML) techniques. A Bayesian Neural Network successfully modelled a complex shale gas reservoir system (Eagle Ford), generating a production forecast with 5% mean absolute percent …
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Data-Driven Analytics for Oil and Gas Reservoir Production Forecasting
… variables or probing a range of scenarios on production profiles. Static (well logs and core analyses) and dynamic (injection and production history) data sets existing within oil and gas companies are extremely valuable sources of information which can aid operators for a better future field …
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Enhancement of unconventional oil and gas production forecasting using mechanistic-statistical modeling
… accurately predicting highly variable well production rates remains challenging, given the typically poor subsurface characterization and complex flow behavior involved. This creates uncertainty about future resource availability, undermining reliable economic assessments and good …
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Stretched Exponential Decline Model as a Probabilistic and Deterministic Tool for Production Forecasting and Reserve Estimation in Oil and Gas Shales
… models can lead to significantly over-optimistic production forecasts without additional safeguards. Stretched Exponential decline model (SEDM) gives considerably more stabilized production forecast than traditional DCA models and in this work it is shown that it produces unchanging EUR forecasts …
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An investigation into short term latex pricing and national production forecasting decision support system for the public agricultural rubber industry in Thailand
… decision making in many circumstances such as forecasting, managing problems and analysing data. Although used globally in the agricultural, public, government and business sectors, DSS are yet to be adopted within the public agricultural rubber industry in Thailand (PARIT). As PARIT is a …
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Impact of Hydraulic Fracture Conductivity Modeling on Well Performance and Development in Unconventional Reservoirs
… characterization, multiphase flow behavior, and production forecasting. To address these complexities, modern simulation workflows integrate geological, petrophysical, and fluid-property data to better represent subsurface behavior. Because hydraulic fractures provide the primary pathways for …
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Study of the Effect of Fracture Completion Variables on Decline Curve Parameters for Long-Term Production Forecast of Shale Liquids
… throughout the world. Forecasts of future production from these reservoirs based on the fracture stimulation parameters and reservoir properties has led to a better understanding of the duration of important flow regimes and parameters used in production forecasting models. The decline …
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Perfecting visibility with retailer data
… using retailer point of sales (POS) data in the production planning process of a consumer-packaged goods (CPG) manufacturing company. The quantitative measurements of utility include the improvement of production forecasting, reduction of inventory costs, and reduction of equipment changeover …
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Bayesian Optimisation of Hyperparameters in Regression Models for Smart Energy and Environmental Systems
… efficiency of sustainable, low-emission energy production and consumption in smart homes and smart cities. Achieving this requires the development of advanced methods to enhance energy generation and consumption within rapidly growing hybrid energy systems. One effective approach is to improve …
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Exploring anisotropy in rock fluid flow and elastic behavior
… reservoirs today and demand for higher accuracy production forecasting and better optimization of production and drilling development programs makes the case for the use of these more complex models. This thesis first presents a scheme for efficiently calculating the anisotropic permeability …
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Rate-Transient Analysis of Tight Oil and Gas Reservoirs
… in recent decades, resulting in commercial production. For each stage in a MFHW, the formation is fractured by injecting water and sand at high pressure. The resulting hydraulic fracture system enhances production from tight reservoirs by increasing the effective area for flow of the …
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Machine Learning Based Algorithms for Improving Forecasting in Subsurface Energy Resources
… and developing the world economy. Accurate production forecasting models are important for governments, organizations, and companies as they enable them to make informed decisions and develop returns on investments. However, forecasting models for subsurface energy resources still face …