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Geological CO2 Sequestration Atlas for Miocene Strata Offshore Texas State Waters

2017-12-24
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Release : 2017-12-24
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Book Synopsis Geological CO2 Sequestration Atlas for Miocene Strata Offshore Texas State Waters by : R. H. Trevino

Download or read book Geological CO2 Sequestration Atlas for Miocene Strata Offshore Texas State Waters written by R. H. Trevino. This book was released on 2017-12-24. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this atlas is to provide a summary ofresearch under taken as par t of a multi-year study (2009¿2014)of Texas state waters and the adjacent federal offshorecontinental shelf (i.e., near offshore waters of the state ofTexas). The goal of the study was to assess and analyze theexisting data from historical hydrocarbon industr y activitiesin a regional transect of the Texas coast in order to verifythe ability of the Miocene age rocks of the region to safelyand permanently store large amounts of anthropogenic(industrial) CO2.The authors¿ intent in producing this atlas is to providea resource for exploring the geological CO2 sequestrationpotential of the near offshore waters of the state of Texas(f ig. 1) by populating the atlas with both large-scale regionalqualitative and detailed quantitative information that canhelp operators to quickly assess CO2 sequestration potentialat specif ic sites. This is the f irst comprehensive attempt todo this for the near offshore in the Gulf Coast and UnitedStates.

Empirical Analysis of Fault Seal Capacity for CO2 Sequestration, Lower Miocene, Texas Gulf Coast

2012
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Release : 2012
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Book Synopsis Empirical Analysis of Fault Seal Capacity for CO2 Sequestration, Lower Miocene, Texas Gulf Coast by : Andrew Joseph Nicholson

Download or read book Empirical Analysis of Fault Seal Capacity for CO2 Sequestration, Lower Miocene, Texas Gulf Coast written by Andrew Joseph Nicholson. This book was released on 2012. Available in PDF, EPUB and Kindle. Book excerpt: The Gulf Coast of Texas has been proposed as a high capacity storage region for geologic sequestration of anthropogenic CO2. The Miocene section within the Texas State Waters is an attractive offshore alternative to onshore sequestration. However, the stratigraphic targets of interest highlight a need to utilize fault-bounded structural traps. Regional capacity estimates in this area have previously focused on simple volumetric estimations or more sophisticated fill-to-spill scenarios with faults acting as no-flow boundaries. Capacity estimations that ignore the static and dynamic sealing capacities of faults may therefore be inaccurate. A comprehensive fault seal analysis workflow for CO2-brine membrane fault seal potential has been developed for geologic site selection in the Miocene section of the Texas State Waters. To reduce uncertainty of fault performance, a fault seal calibration has been performed on 6 Miocene natural gas traps in the Texas State Waters in order to constrain the capillary entry pressures of the modeled fault gouge. Results indicate that modeled membrane fault seal capacity for the Lower Miocene section agrees with published global fault seal databases. Faults can therefore serve as effective seals, as suggested by natural hydrocarbon accumulations. However, fault seal capacity is generally an order of magnitude lower than top seal capacity in the same stratigraphic setting, with implications for storage projects. For a specific non-hydrocarbon producing site studied for sequestration (San Luis Pass salt dome setting) with moderately dipping (16°) traps (i.e. high potential column height), membrane fault seal modeling is shown to decrease fault-bound trap area, and therefore storage capacity volume, compared with fill-to-spill modeling. However, using the developed fault seal workflow at other potential storage sites will predict the degree to which storage capacity may approach fill-to-spill capacity, depending primarily on the geology of the fault (shale gouge ratio -- SGR) and the structural relief of the trap.

Characterization of the High Island Field 24L Field for Modeling and Estimating CO2 Storage Capacity in the Offshore Texas State Waters, Gulf of Mexico

2019
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Release : 2019
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Book Synopsis Characterization of the High Island Field 24L Field for Modeling and Estimating CO2 Storage Capacity in the Offshore Texas State Waters, Gulf of Mexico by : Izaak Ruiz

Download or read book Characterization of the High Island Field 24L Field for Modeling and Estimating CO2 Storage Capacity in the Offshore Texas State Waters, Gulf of Mexico written by Izaak Ruiz. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: Carbon, Capture, and Storage (CCS) is considered an essential technology that can contribute to reaching the IPCC’s target to limit global average temperature rise to no more than 2.0°C. The fundamental purpose of CCS is to reduce anthropogenic CO2 emissions by capturing gas from large point sources and injecting it into deep geologic formations. In the offshore Texas State Waters (10.3 miles; 16.6 kilometers), the potential to develop CO2 storage projects is viable, but the size of storage opportunity at the project level is poorly constrained. This research characterizes the High Island 24L Field, a relatively large historic hydrocarbon field, that has produced mainly natural gas (0.5 Tcf). The primary motivation for this study is to demonstrate that depleted gas fields can serve as volumetrically significant CO2 storage sites. The stratigraphy of the inner continental shelf in the Gulf of Mexico has been extensively explored for hydrocarbon for over 50 years, and this area is well suited for CCS. Lower Miocene sandstones beneath the regional transgressive Amphistegina B shale have appropriate geologic properties (porosity, thickness, extent) and can be characterized utilizing 3D seismic and well logs in this study. Identifying key stratigraphic surfaces, faults, and mapping structural closure footprints illustrates the field’s geologic structure. The interpreted stratigraphic framework can then be used to model three different lithologic facies and effective porosity to calculate CO2 storage capacity for both the ~200-ft (60-m) thick HC Sand (most productive gas reservoir) and the overlying thicker 1700 ft (520 m), but non-productive, Storage Interval of Interest. Four different methodologies are utilized to achieve confidence in the CO2 storage capacity estimates. A storage capacity of 15 – 23 MT is calculated for the HC Sand and 108 – 179 MT for the Storage Interval of Interest by applying interpreted efficiency factors. This study evaluates the accuracy of these storage capacity methodologies to better understand the key geologic factors that influence CO2 storage in a depleted hydrocarbon field for CCS

Geologic Characterization and Modeling for Quantifying CO2 Storage Capacity of the High Island 10-L Field in Texas State Waters, Offshore Gulf of Mexico

2019
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Release : 2019
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Book Synopsis Geologic Characterization and Modeling for Quantifying CO2 Storage Capacity of the High Island 10-L Field in Texas State Waters, Offshore Gulf of Mexico by : Omar Ramirez Garcia

Download or read book Geologic Characterization and Modeling for Quantifying CO2 Storage Capacity of the High Island 10-L Field in Texas State Waters, Offshore Gulf of Mexico written by Omar Ramirez Garcia. This book was released on 2019. Available in PDF, EPUB and Kindle. Book excerpt: Carbon dioxide capture and storage (CCS) is a promising technology for mitigating climate change by reducing CO2 emissions to the atmosphere and injecting captured industrial emissions into deep geologic formations. Deep subsurface storage in geologic formations is similar to trapping natural hydrocarbons and is one of the key components of CCS technology. The quantification of the available subsurface storage resource is the subject of this research project. This study focuses on site-specific geologic characterization, reservoir modeling, and CO2 storage resource assessment (capacity) of a depleted oil and gas field located on the inner continental shelf of the Gulf of Mexico, the High Island 10L field. lower Miocene sands in the Fleming Group beneath the regional transgressive Amphistegina B shale have extremely favorable geologic properties (porosity, thickness, extent) and are characterized in this study utilizing 3-D seismic and well logs. Key stratigraphic surfaces between maximum flooding surfaces (MFS-9 to MFS-10) demonstrate how marine regression and transgression impact the stacking pattern of the thick sands and overlying seals, influencing the overall potential for CO2 storage. One of the main uncertainties when assessing CO2 storage resources at different scales is to determine the fraction of the pore space within a formation that is practically accessible for storage. The goal of the modeling section of this project is to address the uncertainty related to the static parameters affecting calculations of available pore space by creating facies and porosity geostatistical models based on the spatial variation of the available data. P50 values for CO2 storage capacity range from 37.56 to 40.39 megatonnes (Mt), showing a narrow distribution of values for different realizations of the geostatistical models. An analysis of the pressure build-up effect on storage capacity was also performed, showing a reduction in capacity. This research further validates the impact of the current carbon tax credit program (45Q), applied directly to the storage resources results for the High Island field 10L using a simple NPV approach based on discounted cash flows. Several scenarios are assessed, where the main variables are the duration of the applicability of the tax credit, number of injection wells, and total storage capacity. Results are measured in terms of the cost of capture required for a project to be economic, given previous assumptions.

Use of 3-dimensional Dynamic Modeling of CO2 Injection for Comparison to Regional Static Capacity Assessments of Miocene Sandstone Reservoirs in the Texas State Waters, Gulf of Mexico

2013
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Release : 2013
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Book Synopsis Use of 3-dimensional Dynamic Modeling of CO2 Injection for Comparison to Regional Static Capacity Assessments of Miocene Sandstone Reservoirs in the Texas State Waters, Gulf of Mexico by : Kerstan Josef Wallace

Download or read book Use of 3-dimensional Dynamic Modeling of CO2 Injection for Comparison to Regional Static Capacity Assessments of Miocene Sandstone Reservoirs in the Texas State Waters, Gulf of Mexico written by Kerstan Josef Wallace. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt: Geologic sequestration has been suggested as a viable method for greenhouse gas emission reduction. Regional studies of CO2 storage capacity are used to estimate available storage, yet little work has been done to tie site specific results to regional estimates. In this study, a 9,258,880 acre (37469.4 km2) area of the coastal and offshore Texas Miocene interval is evaluated for CO2 storage capacity using a static volumetric approach, which is essentially a discounted a pore volume calculation. Capacity is calculated for the Miocene interval above overpressure depth and below depths where CO2 is not supercritical. The goal of this study is to determine the effectiveness of such a regional capacity assessment, by performing refinement techniques that include simple analytical and complex reservoir injection simulations. Initial refinement of regional estimates is performed through net sand picking which is used instead of the gross thickness assumed in the standard regional calculation. The efficiency factor is recalculated to exclude net-to-gross considerations, and a net storage capacity estimate is calculated. Initial reservoir-scale refinement is performed by simulating injection into a seismically mapped saline reservoir, near San Luis Pass. The refinement uses a simplified analytical solution that solves for pressure and fluid front evolution through time (Jain and Bryant, 2011). Porosity, permeability, and irreducible water saturation are varied to generate model runs for 6,206 samples populated using data from the Atlas of Northern Gulf of Mexico Gas and Oil Reservoirs (Seni, 2006). As a final refinement step, a 3D dynamic model mesh is generated. Nine model cases are generated for homogeneous, statistically heterogeneous, and seismic-based heterogeneous meshes to observe the effect of various geologic parameters on injection capacity. We observe downward revisions (decreases) in total capacity estimation with increasingly refined geologic data and scale. Results show that estimates of storage capacity can decrease significantly (by as much as 88%) for the single geologic setting investigated. Though this decrease depends on the criteria used for capacity comparison and varies within a given region, it serves to illustrate the potential overestimation of regional capacity assessments compared to estimates that include additional geologic complexity at the reservoir scale.

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