Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Development of a data-driven forecasting tool for hydraulically fractured, horizontal wells in tight-gas sands
Date
2017-06-01
Author
Kulga, B.
Artun, E.
Ertekin, T.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
164
views
0
downloads
Cite This
Tight-gas sand reservoirs are considered to be one of the major unconventional resources. Due to the strong heterogeneity and very low permeability of the formation, and the complexity of well trajectories with multiple hydraulic fractures; there are challenges associated with performance forecasting and optimum exploitation of these resources using conventional modeling approaches. In this study, it is aimed to develop a data-driven forecasting tool for tight-gas sands, which is based on artificial neural networks that can complement the physics-driven modeling approach, namely numerical-simulation models. The tool is designed to predict the horizontal-well performance as a proxy to the numerical model, once the initial conditions, operational parameters, reservoir/hydraulic-fracture characteristics are provided. The data-driven model, that the forecasting tool is based on, is validated with blind cases by estimating the cumulative gas production after 10 years with an average error of 3.2%. A graphical-user-interface application is developed that allows the practicing engineer to use the developed tool in a practical manner by visualizing estimated performance for a given reservoir within a fraction of a second. Practicality of the tool is demonstrated with a case study for the Williams Fork Formation by assessing the performance of various well designs and by incorporating known uncertainties through Monte Carlo simulation. P10, P50 and P90 estimates of the horizontal-well performance are quickly obtained within acceptable accuracy levels.
Subject Keywords
Tight-gas sands
,
Data-driven modeling
,
Artificial neural networks
,
Performance forecasting
,
Uncertainty analysis
,
Williams Fork Formation
URI
https://hdl.handle.net/11511/66887
Journal
COMPUTERS & GEOSCIENCES
DOI
https://doi.org/10.1016/j.cageo.2017.03.009
Collections
Engineering, Article
Suggestions
OpenMETU
Core
Development of a predictive model for carbon dioxide sequestration in deep saline carbonate aquifers
Anbar, Sultan; Akın, Serhat; Department of Petroleum and Natural Gas Engineering (2009)
Although deep saline aquifers are found in all sedimentary basins and provide very large storage capacities, a little is known about them because they are rarely a target for the exploration. Furthermore, nearly all the experiments and simulations made for CO2 sequestration in deep saline aquifers are related to the sandstone formations. The aim of this study is to create a predictive model to estimate the CO2 storage capacity of the deep saline carbonate aquifers since a little is known about them. To crea...
Design of settling basins and related problems encountered in practice
Zaloğlu, Fatma Deniz; Göğüş, Mustafa; Department of Civil Engineering (2013)
Settling basins are the hydraulic structures used to get sediment-free water from rivers mostly for hydropower systems. Mainly fine sediment is trapped along the settling basins and from time to time the accumulated sediment in the settling basin is flushed away. A wrong design of a settling basin creates lots of problems. In this study based on the hydraulic analysis of a settling basin, the available settling basin design procedures in the literature were reviewed. Some of the settling basins constructed ...
An Experimental Study on Compression and Shrinkage Behavior of Cement-Treated Marine Deposited Clays
Ekinci, Abdullah; Ince, Ceren; Ferreira, Pedro Miguel Vaz (2019-09-01)
Marine clay deposits are commonly found soils around the world. Owing to the high costs of material disposal and the associated environmental problems, there is a growing need to find an alternative solution to reusing unsuitable soils. In the current study, the shrinkage and compression behavior of marine deposited clays, a soil commonly found worldwide, has been studied using intact, reconstituted, and cement-treated samples. Additionally, the effect of cement inclusion was evaluated for dosages ranging f...
Properties of Ground Perlite Geopolymer Mortars
Erdoğan, Sinan Turhan (American Society of Civil Engineers (ASCE), 2015-07-01)
Perlite is a volcanic aluminosilicate abundant in several countries that are major producers of portland cement. The amorphous nature and silica-to-alumina ratio of ground perlite indicate that it can be activated with alkaline solutions. This study presents the strength development of mixtures containing only ground perlite as their powder binder, activated with sodium hydroxide and/or sodium silicate solutions, at room temperature or using oven curing. The structure of the formed geopolymers is investigat...
A Study on optimum layout of drainage gallery for concrete dams
Daghestani, Tameem; Yanmaz, Ali Melih; Çalamak, Melih; Department of Civil Engineering (2018)
Dams are generally massive structures retaining a large amount of water. Any failure could lead to a disaster. Therefore, keeping the dam within the required safety margins and maintaining those conditions is of the utmost importance. A gravity dam is held in place by its own weight. Uplift pressure reduces the effective weight of the dam, thus reducing its safety. Hence reducing the effect of uplift could have significant results in increasing the safety of the dam. In this study, the optimum location of t...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Kulga, E. Artun, and T. Ertekin, “Development of a data-driven forecasting tool for hydraulically fractured, horizontal wells in tight-gas sands,”
COMPUTERS & GEOSCIENCES
, pp. 99–110, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66887.