Shallow velocity structure near the CO2 injection well candidate of Gundih CCS Project derived from First Arrival Seismic Tomography

2019 ◽  
Author(s):  
Rachmat Sule ◽  
Riskiray Ryannugroho ◽  
Alfian Bahar
Keyword(s):  
Seismic Tomography ◽  
Velocity Structure ◽  
Injection Well ◽  
Co2 Injection ◽  
First Arrival ◽  
Shallow Velocity Structure

scholarly journals Numerical Simulation and Optimization of CO2 Sequestration in Saline Aquifers

2012 ◽  
Author(s):  
Zheming Zhang ◽  
Ramesh Agarwal
Keyword(s):  
Numerical Simulation ◽  
Co2 Sequestration ◽  
Storage Capacity ◽  
Co2 Storage ◽  
Injection Well ◽  
Co2 Injection ◽  
Great Promise ◽  
Saline Aquifer ◽  
Simulation And Optimization ◽  
Co2 Plume

With recent concerns on CO2 emissions from coal fired electricity generation plants; there has been major emphasis on the development of safe and economical Carbon Dioxide Capture and Sequestration (CCS) technology worldwide. Saline reservoirs are attractive geological sites for CO2 sequestration because of their huge capacity for sequestration. Over the last decade, numerical simulation codes have been developed in U.S, Europe and Japan to determine a priori the CO2 storage capacity of a saline aquifer and provide risk assessment with reasonable confidence before the actual deployment of CO2 sequestration can proceed with enormous investment. In U.S, TOUGH2 numerical simulator has been widely used for this purpose. However at present it does not have the capability to determine optimal parameters such as injection rate, injection pressure, injection depth for vertical and horizontal wells etc. for optimization of the CO2 storage capacity and for minimizing the leakage potential by confining the plume migration. This paper describes the development of a “Genetic Algorithm (GA)” based optimizer for TOUGH2 that can be used by the industry with good confidence to optimize the CO2 storage capacity in a saline aquifer of interest. This new code including the TOUGH2 and the GA optimizer is designated as “GATOUGH2”. It has been validated by conducting simulations of three widely used benchmark problems by the CCS researchers worldwide: (a) Study of CO2 plume evolution and leakage through an abandoned well, (b) Study of enhanced CH4 recovery in combination with CO2 storage in depleted gas reservoirs, and (c) Study of CO2 injection into a heterogeneous geological formation. Our results of these simulations are in excellent agreement with those of other researchers obtained with different codes. The validated code has been employed to optimize the proposed water-alternating-gas (WAG) injection scheme for (a) a vertical CO2 injection well and (b) a horizontal CO2 injection well, for optimizing the CO2 sequestration capacity of an aquifer. These optimized calculations are compared with the brute force nearly optimized results obtained by performing a large number of calculations. These comparisons demonstrate the significant efficiency and accuracy of GATOUGH2 as an optimizer for TOUGH2. This capability holds a great promise in studying a host of other problems in CO2 sequestration such as how to optimally accelerate the capillary trapping, accelerate the dissolution of CO2 in water or brine, and immobilize the CO2 plume.

Robust CO2 Plume Imaging Using Joint Tomographic Inversion Of Distributed Pressure And Temperature Measurements

2021 ◽  
Author(s):  
Changqing Yao ◽  
Hongquan Chen ◽  
Akhil Datta-Gupta ◽  
Sanjay Mawalkar ◽  
Srikanta Mishra ◽  
...  
Keyword(s):  
Carbon Sequestration ◽  
History Matching ◽  
Temperature Measurements ◽  
Injection Well ◽  
Co2 Injection ◽  
Pressure Data ◽  
Distributed Temperature Sensing ◽  
Data Set ◽  
Monitoring Well ◽  
Co2 Plume

Abstract Geologic CO2 sequestration and CO2 enhanced oil recovery (EOR) have received significant attention from the scientific community as a response to climate change from greenhouse gases. Safe and efficient management of a CO2 injection site requires spatio-temporal tracking of the CO2 plume in the reservoir during geologic sequestration. The goal of this paper is to develop robust modeling and monitoring technologies for imaging and visualization of the CO2 plume using routine pressure/temperature measurements. The streamline-based technology has proven to be effective and efficient for reconciling geologic models to various types of reservoir dynamic response. In this paper, we first extend the streamline-based data integration approach to incorporate distributed temperature sensor (DTS) data using the concept of thermal tracer travel time. Then, a hierarchical workflow composed of evolutionary and streamline methods is employed to jointly history match the DTS and pressure data. Finally, CO2 saturation and streamline maps are used to visualize the CO2 plume movement during the sequestration process. The power and utility of our approach are demonstrated using both synthetic and field applications. We first validate the streamline-based DTS data inversion using a synthetic example. Next, the hierarchical workflow is applied to a carbon sequestration project in a carbonate reef reservoir within the Northern Niagaran Pinnacle Reef Trend in Michigan, USA. The monitoring data set consists of distributed temperature sensing (DTS) data acquired at the injection well and a monitoring well, flowing bottom-hole pressure data at the injection well, and time-lapse pressure measurements at several locations along the monitoring well. The history matching results indicate that the CO2 movement is mostly restricted to the intended zones of injection which is consistent with an independent warmback analysis of the temperature data. The novelty of this work is the streamline-based history matching method for the DTS data and its field application to the Department of Engergy regional carbon sequestration project in Michigan.

scholarly journals Velocity structure of the earthquake zone of the M6.3 Yogyakarta earthquake 2006 from a seismic tomography study

2018 ◽  
Vol 216 (1) ◽  
pp. 439-452 ◽  
Author(s):  
Atria Dilla Diambama ◽  
Ade Anggraini ◽  
Mochamad Nukman ◽  
Birger-Gottfried Lühr ◽  
Wiwit Suryanto
Keyword(s):  
Seismic Tomography ◽  
Velocity Structure ◽  
Earthquake Zone

scholarly journals Capillary processes increase salt precipitation during CO2 injection in saline formations

2018 ◽  
Vol 852 ◽  
pp. 398-421
Author(s):  
Helena L. Kelly ◽  
Simon A. Mathias
Keyword(s):  
High Salinity ◽  
Volume Fraction ◽  
Injection Rate ◽  
Injection Well ◽  
Co2 Injection ◽  
Salt Precipitation ◽  
Injection Wells ◽  
Tenfold Increase ◽  
Entry Pressure ◽  
Injection Rates

An important attraction of saline formations for CO2 storage is that their high salinity renders their associated brine unlikely to be identified as a potential water resource in the future. However, high salinity can lead to dissolved salt precipitating around injection wells, resulting in loss of injectivity and well deterioration. Earlier numerical simulations have revealed that salt precipitation becomes more problematic at lower injection rates. This article presents a new similarity solution, which is used to study the relationship between capillary pressure and salt precipitation around CO2 injection wells in saline formations. Mathematical analysis reveals that the process is strongly controlled by a dimensionless capillary number, which represents the ratio of the CO2 injection rate to the product of the CO2 mobility and air-entry pressure of the porous medium. Low injection rates lead to low capillary numbers, which in turn are found to lead to large volume fractions of precipitated salt around the injection well. For one example studied, reducing the CO2 injection rate by 94 % led to a tenfold increase in the volume fraction of precipitated salt around the injection well.

scholarly journals A generic model for the shallow velocity structure of volcanoes

2018 ◽  
Vol 356 ◽  
pp. 114-126 ◽  
Author(s):  
Philippe Lesage ◽  
Michael J. Heap ◽  
Alexandra Kushnir
Keyword(s):  
Velocity Structure ◽  
Generic Model ◽  
Shallow Velocity Structure

The P-wave velocity structure of Deception Island, Antarctica, from two-dimensional seismic tomography

2009 ◽  
Vol 180 (1) ◽  
pp. 67-80 ◽  
Author(s):  
Tami Ben-Zvi ◽  
William S.D. Wilcock ◽  
Andrew H. Barclay ◽  
Daria Zandomeneghi ◽  
Jesús M. Ibáñez ◽  
...  
Keyword(s):  
Wave Velocity ◽  
Seismic Tomography ◽  
Velocity Structure ◽  
P Wave ◽  
Two Dimensional ◽  
Deception Island ◽  
P Wave Velocity ◽  
P Wave Velocity Structure

Discerning Between Real and Artificial Velocity Change in Time-Dependent Seismic Tomography

2020 ◽  
Author(s):  
Alex Hobé ◽  
Ari Tryggvason ◽  
Olafur Gudmundsson ◽  
Keyword(s):  
Seismic Tomography ◽  
Velocity Structure ◽  
Time Dependent ◽  
Magma Storage ◽  
Inversion Process ◽  
Multiple Sources ◽  
Velocity Change ◽  
Volcanic System ◽  
Rapid Changes ◽  
Velocity Changes

<p>Volcanoes and volcanic systems are very dynamic. The influx of new magma, changes in the hydrothermal system, and eruptions produce large changes in the velocity structure. Such changes can be inferred using Time-Dependent Seismic Tomography (TDST), as has been done by multiple authors (e.g. Koulakov et al. 2013, Hobé et al. 2020). Due to the nature of the inversion process inherent to tomographic methods, it is difficult to discern between real and artificial differences between epochs. In TDST, such artificial differences can arise from differences in raypath-geometry (due to differences in station and earthquake distributions), the employed regularization in the inversion process, and errors due to multiple sources (e.g. travel-time picks, and assumptions in the forward model). This study provides two novel ways of inferring the influence of these artificial sources of velocity change in tomographic models: a baseline reconstruction (Hobé et al. 2020) and time-varying reconstructions. These reconstructions are produced for the Krysuvik volcanic system. The velocity differences produced by the "true" data are then compared to those produced in the synthetic reconstructions. We show that the differences in the obtained models cannot solely have been produced artificially and therefore that there must have been significant velocity changes in the area.<br><br></p><p>References:</p><p>Hobé et al. (2020): Imaging the 2010-2011 inflationary source at Krysuvik, SW Iceland, using time-dependent Vp/Vs tomography, WGC 2020, forthcoming</p><p>Koulakov et al. (2013): Rapid changes in magma storage beneath the Klyuchevskoy group of volcanoes inferred from time-dependent seismic tomography, J. Volcanol. Geotherm. Res.</p>

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