A Predictive Model of Wellbore Performance in Presence of Carbon Dioxide in Kizildere Geothermal Field

Date

2021-10-01

Author

saraçoğlu, önder
başer, ali
AKIN, TAYLAN
KÜÇÜK, SERHAT
şentürk, erdinç
Akın, Serhat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

207
views

0
downloads

Typically, geothermal wellbore model is used to predict the production performance of wells using a wellbore simulator based on flow tests. An iterative procedure is used to calibrate NCG content. In this study, a predictive modelling approach harnessing the power of machine learning is proposed. Several deep well data in Kizildere Geothermal Field have been used to calibrate the model. The results are compared to flowmeter data attached to a mini separator. It has been observed that flowmeter NCG results are consistent with predictive modelling results in most of the wells. Since NCG measurements with mini separator are challenging, it is possible to predict NCG values for the wells without actual measurements at the wellsite.

Subject Keywords

Predictive Wellbore Model, CO2, Machine Learning

URI

https://pangea.stanford.edu/ERE/db/WGC/mobile/mSchedule.php
https://hdl.handle.net/11511/96041
https://pangea.stanford.edu/ERE/db/WGC/papers/WGC/2020/22123.pdf

Conference Name

World Geothermal Congress 2020+1

Collections

Department of Petroleum and Natural Gas Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

A RANDOM-FIELD MODEL FOR THE ESTIMATION OF SEISMIC HAZARD Yücemen, Mehmet Semih (Elsevier BV, 1993-10-01) A stochastic framework is developed, in terms of the theory of homogeneous random functions, to estimate the seismic hazard associated with linearly extending seismic sources. The formulation is carried out in the space-time domain. An earthquake having at least a magnitude of m is assumed to occur whenever the total strain energy accumulated over the potential rupture plane exceeds the energy level corresponding to this magnitude, m. An alternative formulation, in which an earthquake is generated when the ...
AN ESTIMATION OF THE MAXIMUM INTERSTORY DRIFT RATIO FOR SHEAR-WALL TYPE STRUCTURES Koleva, G.; Sandu, I.; Akkar, S. (2008-05-20) In displacement-based engineering, the maximum interstory drift ratio (MIDR) is one of the most influential parameters for evaluating the seismic performance of existing structural systems. MIDR is also a key parameter in force-based designs satisfying serviceability lit-nits for new structural systems. A set of predictive equations is derived for estimating MIDR on shear-wall systems with fundamental periods ranging from 0.5 to 1.25 s. The equations are derived from a recently compiled ground-motion datase...
A proxy model for determining reservoir pressure and temperature for geothermal wells Aydin, Hakki; Akın, Serhat; Senturk, Erdinc (Elsevier BV, 2020-11-01) Estimating reservoir pressure and temperature is one of the challenges of geothermal reservoir engineering. A new proxy model has been developed to estimate reservoir pressure and temperature using wellhead pressure, temperature and non-condensable gas (NCG) amount. An exhaustive set of wellhead data covering a range of possible wellhead pressure, temperature and NCG data is used in a calibrated wellbore simulator, which is then used to create a knowledgebase to train an artificial neural network (ANN) mode...
A comparative experimental and density functional study of glucose adsorption and electrooxidation on the Au-graphene and Pt-graphene electrodes Caglar, Aykut; Duzenli, Derya; Önal, Işık; Tersevin, Ilker; Sahin, Ozlem; Demir Kıvrak, Hilal (2020-01-01) At present, the graphene is covered on Cu foil with the 5 sccm hexane (C6H14) flow rate, 50 sccm hydrogen (H-2) flow rate, and 20 min deposition time parameters by the CVD method. The graphene on the Cu foil is then covered onto few-layer ITO electrode. Furthermore, the Pt and Au metals are electrodeposited on graphene/ITO electrode with electrochemical method. These electrodes are characterized by Raman spectroscopy and Scanning Electron Microscopy-Energy Dispersive X-Ray analysis (SEM-EDX). The graphene s...
A fast and automated hydrologic calibration tool for SWAT ÖZDEMİR, AYFER; Leloğlu, Uğur Murat (2019-11-01) In order to apply hydrological models in the water resources investigation successfully, careful calibration and uncertainty analysis are required. Although many automatic calibration methods were developed, the time consumed for running the hydrologic model is still a problem for hydrologic modelers. To reduce the computational complexity and increase performance of the calibration procedure, a software package (Fast Automated Calibration Tool, FACT) that works on Soil and Water Assessment Tool (SWAT) was ...

Citation Formats

ö. saraçoğlu, a. başer, T. AKIN, S. KÜÇÜK, e. şentürk, and S. Akın, “A Predictive Model of Wellbore Performance in Presence of Carbon Dioxide in Kizildere Geothermal Field,” presented at the World Geothermal Congress 2020+1, Reykjavik, İzlanda, 2021, Accessed: 00, 2022. [Online]. Available: https://pangea.stanford.edu/ERE/db/WGC/mobile/mSchedule.php.