AndreaBozzo/ceres-open-data-index huggingface dataset:
AI@DOE Interim Executive Report

Interim executive report for DOE’s Office of Science, NNSA, and Applied Energy Offices, in collaboration with the Artificial Intelligence and Technology Office, DOE AI roundtable workshops (December 2021 through February 2022) (“AI@DOE”).  These workshops were used to help identify AI research requirements and priorities for the next decade for Department of Energy in developing machine-learning-based prediction and decision-support capabilities that address and anticipate DOE mission challenges.

These missions’ challenges for AI include: 

AI to advance scientific discovery and technological innovation
AI to support high consequence decisions while managing risk
AI to improve DOE’s responsiveness to national & global issues
AI to assist stewardship of the environment and national critical infrastructure
These will be addressed in large part through the development and application of new and powerful artificial intelligence and/or machine learning algorithms and strategies.

https://web.cvent.com/event/fc3922f8-fc75-4041-a317-f13a1da44f7c/summary?locale=en-US&i=2Wx2tjbStkydRFq_N2whPw

Tags: Machine Learning, NETL Strategy, artificial intelligence, research, strategy
Citizen Green #1 Well: Drilling, Deviation, Mud, Whole Core, and Observation Logs

This submission includes drilling logs, mud log, deviation survey, site observation notes, and whole core scans from the Citizen Green #1 well drilled on King Island, CA (API 07720688) as part of the WESTCARB partnership basin characterization effort. These datasets were gathered by JAF but created and compiled by a variety of WESTCARB operations team members and contractors including Sandia Resources, Stratagraphic Corp, John Henry Beyer, Paul Graham Drilling, and Core Labs.

Tags: Core CT, Wells Logs, deviation Survey, drilling logs
CSEM, BHP, Salinity, Flow-Rate, Fiber, and Tilt Data Collected in Jan. 2022 for Proj. DE-FE0031785

This dataset consists of four directories: first directory named as EM for the controlled source electromagnetic (CSEM) survey data that are zipped per day for January 18-21, 22, 23, 24, 25, 26, 27, 28, 29, 30, and 31, 2022; second directory named as "Fiber" for the fiber optic slow-strain and microseismic data that are zipped per well; the third file that contains bottomhole pressure (BHP) and salinity and pump flow rate data during the CSEM surveys; and the fourth file that contained tiltmeter data. 

Tags: CSEM, Electrically active proppant, Hydraulic fracture diagnostics, hydraulic fracture imaging
CSEM, Bottomhole Pressure, Salinity, and Flow-Rate Data Collected in Sep. 2020 for Proj. DE-FE0031785

This dataset consists of two directories: first directory named as EM for the controlled source electromagnetic (CSEM) survey data that are zipped per day for September 22, 23, 24, 25, and 27, 2020, and second directory named as "Bottomhole Pressure, Salinity, and Flow-Rate" for the simultaneous collection of bottomhole pressure and salinity and pump flow rate during the CSEM surveys. 

Tags: CSEM, Electrically active proppant, Hydraulic fracture diagnostics, hydraulic fracture imaging
Citizen Green #1 Well : Sidewall Core Permeability Studies

This submission includes information on porosity & permeability measurements conducted on sidewall cores from the Citizen Green #1 well drilled on King Island, CA (API 07720688) as part of the WESTCARB partnership basin characterization effort. Cores were acquired with a rotary sidewall tool at a range of depths; only deeper cores were sufficiently consolidated for analysis. SidewallCoreFormationDepthNotes.xls provides details on available samples. Helium porosimetry, air permeability, and brine permeability measurements were conducted on all competent samples (~15). Samples were largely in the Mokelumne, H&T shale, and Starkey formations. All measurements were conducted by Core Laboratories (Bakersfield) on behalf of Lawrence Berkeley National Laboratory (LBNL) with final reports provided in November of 2012. Further measurements were conducted on some sidewalls with data in other submissions.

Tags: Porosity, Sacramento Basin, Sidewall core, pemeability
Kimberlina 1.2 CCUS Geophysical Models and Synthetic Data Sets: 3D seismic data: year25

3-D synthetic surface seismic data for year 25 in Kimberlina 1.2 CCUS Geophysical Models and Synthetic Data Sets

Tags: 3-D seismic data, CCUS, Kimberlina 1.2, SMART, synthetic data, year 25
Optimization of a cyclone using MFIX and Nodeworks

Video depicting the optimization process of a cyclone on NETL's chemical looping reactor (CLR) using MFIX and Nodeworks. MFIX is used to model the cyclone using PIC. Nodeworks is then used to generate proposed geometry changes using a Latin hypercube. Each design is simulated, with an objective value being computed based on the cyclone efficiency and pressure drop. A Gaussian Process surrogate model is then constructed from the objective values. This surrogate model is then used by a differential evolution optimization algorithm to identify the optimal cyclone design.

Details published here:
Weber, J., Fullmer, W., Gel, A., and Musser, J. (February 4, 2020). "Optimization of a Cyclone Using Multiphase Flow Computational Fluid Dynamics." ASME. J. Fluids Eng. March 2020; 142(3): 031111. https://doi.org/10.1115/1.4045952

OSTI: https://www.osti.gov/pages/servlets/purl/1763893

Tags: MFIX, Multiphase, cyclone, nodeworks, optimization
Carbon and Hydrogen Hubs Atlas for US Decarbonization

The Great Plains Institute has just released a first-of-its-kind publication titled An Atlas of Carbon and Hydrogen Hubs for United States Decarbonization. The atlas identifies areas of the United States that offer the capacity to help our nation expand and accelerate emissions reductions and carbon removal through focused coordination, deployment, and policy.

The development of carbon and hydrogen hubs is a crucial strategy for achieving economies of scale in the deployment of decarbonization technologies and associated infrastructure. Hubs are an opportunity to meet midcentury climate goals, retain and create high-wage energy, industrial, and manufacturing jobs, and provide environmental and economic benefits to local communities.

Here are a few key takeaways from the atlas:

- Carbon management and zero-carbon hydrogen are needed at scale to achieve our climate goals.
- Carbon and hydrogen hubs can focus planning, coordination, policy, and investment regionally to bring these required solutions to scale.
- Supportive federal and state policy is critical to scale up carbon management and zero-carbon hydrogen technologies and associated infrastructure.

Tags: CCS Report, Carbon Storage, Carbon hubs, Decarbonization, GPI, Great Plains Institute, Hydrogen, Hydrogen hubs, geologic carbon storage
J&L #1 Well-Pennsylvania Oriskany Characterization

Dataset for this database page represents data from technical report "Computed Tomography Scanning and Geophysical Measurements of Appalachian Basin Core from the Jones and Laughlin #1 Well, Beaver County PA " 

Sharma, M; Paronish, T.; Mitchell, N.; Crandall, D.; Neubaum, J. Computed Tomography Scanning and Geophysical Measurements of Appalachian Basin Core from the Jones and Laughlin #1 Well, Beaver County PA; DOE.NETL-2023.3889; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2023; p 37. 


Tags: Appalachian Basin, CCUS, Carbon Storage, Computed Tomography, MSCL, Oriskany Formation, Pennsylvania, XRF
Ocean & Geohazard Analysis Tool

The Ocean & Geohazard Analysis (OGA) software tool is designed to summarize insights into key offshore hazards drawing from a diverse set of approaches, including artificial intelligence, machine learning, probabilistic and statistical, and offshore data sources. The offshore hazards that can be analyzed include submarine landslides, extreme wind/wave/current event probabilities, earthquakes, and metocean pathways (CIAM Climatological Isolation and Attraction Model–Climatological Lagrangian Coherent Structures - Submissions - EDX (doe.gov)). Currently, the tool is developed for use in the Gulf of Mexico. The data underlying the offshore hazard analyses can be found here: https://edx.netl.doe.gov/dataset/gulf-of-mexico-risk-analysis-database-gomrad 

This work was conducted under the Advanced Offshore Research Portfolio, FWP Number 1022409 at National Energy Technology Laboratory, U.S. Dept. of Energy.

Disclaimer
This project was funded by the United States Department of Energy, National Energy Technology Laboratory, in part, through a site support contract. Neither the United States Government nor any agency thereof, nor any of their employees, nor the support contractor, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.  Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

Tags: AIML, Geospatial Trends, Metocean, ciiam, geohazard, infrastructure, offshore, offshore energy
NEWTS Coal Mine Drainage Dataset from Cravotta Brady (2015)

Data from Cravotta, Brady, "Priority pollutants and associated constituents in untreated and treated discharges from coal mining or processing facilities in Pennsylvania, USA". Applied Geochemistry, 2015. https://doi.org/10.1016/j.apgeochem.2015.03.001

Dataset includes information on water quality composition including inorganic compounds from untreated and treated streams of coal-mine discharge from coal mining and coal processing locations. Data is provided in the original version as well as in a summarized version for easy input into aqueous chemistry modeling software.

Tags: Aqueous Chemistry, Case Studies, Coal mine discharge, Geochemists Workbench, NEWTS, OLI Systems, Wastewater, Water Quality
NEWTS Database Dashboard

The NEWTS (National Energy Water Treatment and Speciation) database dashboard displays sites across the nation where energy-related wastewater stream samples and composition data have been collected. Using the dashboard, community leaders and the public will be able to quickly explore and obtain sample data from locations displayed on a map where various government agencies collect and analyze water samples from energy-related wastewater streams.

Tags: Aqueous Chemistry, NEWTS, Water Quality, dashboard, database, speciation, treatment, wastewater, water
MFIX-Exa PIC simulation of NETL 50kW CLR

MFIX-Exa was used to simulate NETL’s 50kW chemical looping reactor (CLR) with the low-resolution particle-in-cell (PIC) model. The PIC model resolves the geometry on a 4mm fluid mesh and each parcel has a statistical weight of 512 (i.e., each parcel represents 512 particles). The flow boundary conditions were gradually increased to their steady-state values over the first second of simulation. Five additional seconds were simulated, reaching a quasi-steady operating condition with respect to the mass distribution. The end of this simulation at t = 6s will be used as the starting point of a high-fidelity discrete element method (DEM) simulation. MFIX-Exa’s pic2dem restarter application will be used to refine the fluid mesh by a factor of 8^3 and convert the parcels to individual 200 micron particles, over five billion in total.

v2:
This is the second completed PIC simulation of the CLR (with some probing tests in between), the previous run can be seen here https://edx.netl.doe.gov/dataset/mfix-exa-pic-simulation-of-netl-50kw-clr. Relative to the previous simulation, the primary flow in the air reactor has been decreased to reduce the circulation rate. This change keeps material from plugging up the cyclone so quickly. The second change was the increase the flow rates in L-valve, which was intended the help keep CO2 from leaking into the air reactor. Although the higher L-valve flow rates delayed the CO2 leakage, it was still able to break through the L-valve and reach the air-reactor. Further study into the optimal L-valve setting is ongoing.

Tags: AMReX, CFD-DEM, Circulating Fluidized Beds, MFIX-Exa, fluidization, particle technology
Glass Additive and Subtractive Manufacturing of a Fiber Optic Rotary Encoder for Downhole Pressure Sensing

This paper presents a fiber optic rotary encoder-based pressure sensor for downhole applications. The rotary encoder, which is composed of an encoding pad and an all-glass optical fiber sensing head, converts the rotation angles of a pressure transducer to digital codes. The optical fiber only serves as the telemetry channel to directly transmit the data in digital format, such that the environmental temperature influence and the long-time drift are minimized. The glass additive and subtractive manufacturing techniques are used to embed the multi-channel optical fibers into a bulk-fused silica glass substrate. Because the fused silica glass shares a similar material property to the optical fiber (e.g., thermal expansion coefficient), the optical fiber sensing head is well sealed and fixed even at an elevated temperature. The picosecond laser blackening technique is used to fabricate the high reflectivity contrast encoding pad with high accuracy. The proposed pressure sensor was manufactured and experimentally verified to have a signal-to-noise ratio of 23 dB and a linear pressure response with a root-mean-square error of 0.37. During the 400-hour 250°C long-term stability test, there was no digital code variation. In addition, a mathematical model to study the relationships between the sensor’s performances and design parameters were established. According to the model, a 12-bit encoder (0.02% pressure sensitivity) can be achieved with a radius of 20 mm.

Tags: Encoding, Fiber lasers, Glass, Optical fiber sensors, Optical fibers, Sensors, Temperature sensors, optical fibers
Geomechanical and Hydrogeological Evaluation of a Shallow Hydraulic Fracture at the Devine Fracture Pilot Site, Medina County, Texas

UT-Austin’s Devine Fracture Pilot Site, 50 miles southwest of San Antonio, Texas, has been targeted for a comprehensive, multidisciplinary development of fracture diagnostic techniques that are cross-validated by ground-truth data acquisition near a recently created, 175-ft-deep, horizontal hydraulic fracture (Ahmadian et al. 2018 Demonstration of proof of concept of electromagnetic geophysical methods for high resolution illumination of induced fracture networks. In Proceedings of the SPE Hydraulic Fracturing Technology Conference and Exhibition, The Woodlands, Texas, USA, 23–25 January 2018. SPE-189858-MS.). To evaluate the fracture diagnostic methods at this site, we conducted injection tests with a predefined volumetric flow-rate profile, resembling a diagnostic fracture injection test on September 2020. Subsequently, we developed hydrogeological and geomechanical models based on flow-rate and bottomhole-pressure measurements. History-matching efforts using a simplified layer-cake hydrogeological model resulted in the field-scale formation permeability of 9.87 × 10–15 m2 (10 mD) and Darcy-scale fracture permeability. The analysis of the bottomhole pressure and injection-rate history showed that (1) the newly created horizontal fracture was closed adjacent to the injection well pre-injection and (2) the initial pump-pressure increase at
a nominal volumetric injection rate led to near-well fracture reopening, fluid conductivity increase, and abrupt injection-rate increase. To overcome hydrogeological-model limitations of predicting fracture reopening throughout injection, we extended the modeling to a finite-element, poroelastic analysis of horizontal-fracture growth using a cohesive-zone model. Using this fracture-reopening model, we improved the history match of the transient-pressure response during the experiment by adjusting
the hydromechanical properties. Post-injection pressure transient analyses helped reduce uncertainty in the overburden-stress gradient, and the initial hydraulic-fracturing simulation verified the plausibility of achieving the surveyed propped fracture area.

Tags: Electrically active proppant, Fully coupled poroelastic model, Hydraulic fracture diagnostics, Hydrogeological model, pressure transient analysis
ISGS Seal wells

Computed tomography and core logger data described in Technical Report "Computed Tomography Scanning and Geophysical Measurements of the CarbonSAFE Seal Integrity Wells in the Illinois Basin" by Paronish et al., 2023

Tags: CCUS, CarbonSAFE, Eau Claire Shale, Illinois Basin-Decatur Project, Maquoketa, carbon storage, illinois basin
Real-Time Monitoring of Fracture Dynamics with a Contrast Agent-Assisted Electromagnetic Method

In collaboration with the Advanced Energy Consortium, our team has previously demonstrated that the placement of electrically active proppants (EAPs) in a hydraulic fracture surveyed by electromagnetic (EM) methods can enhance the imaging of the stimulated reservoir volumes during hydraulic fracturing. That work culminated in constructing a well-characterized EAP-filled fracture anomaly at the Devine field pilot site (DFPS). In subsequent laboratory studies, we observed that the electrical conductivity of our EAP correlates with changes in pressure, salinity, and flow. Thus, we postulated that the EAP could be used as an in-situ sensor for the remote monitoring of these changes in previously EAP-filled fractures. This paper presents our latest field data from the DFPS to demonstrate such correlations at an intermediate pilot scale.
We conducted surface-based EM surveys during freshwater (200 ppm) and saltwater (2,500 ppm) slug injections while running surfaced-based EM surveys. Simultaneously, we measured the following: 1) bottomhole pressure and salinity in five monitoring wells; 2) injection rate using high-precision data loggers; 3) distributed acoustic sensors in four monitoring wells; and 4) tiltmeter data on the survey area.
We demonstrated that injections into an EAP-filled fracture could be successfully coupled with real-time electric field measurements on the surface, leading to remote monitoring of dynamic changes within the EAP-filled fracture. Furthermore, by comparing the electrical field traces with the bottomhole pressure, flow rate, and salinity, we concluded that the observed electric field in our study is influenced by fracture dilation and flow rate.  Salinity effect was observed when saltwater was injected. EM simulations solely based on assumptions of fracture conductivity changes during injection did not reproduce all of the measured electric field magnitudes. Preliminary estimates showed that including streaming potential in our geophysical model may be needed to reduce the simulation mismatch.
The methods developed and demonstrated during this study will lead to a better understanding of the extent of fracture networks, formation stress states, fluid leakoff and invasion, characterizations of engineered fracture systems, and other applications where monitoring subsurface flow tracking is deemed important.

Tags: Devine field pilot site, Electrically active proppant, Electromagnetic geophysics, Fracture dynamics, Hydraulic fracturing, Stimulated reservoir volume, in-situ sensor
Pressure Transient Analyses and Poroelastic Modeling of Hydraulic Fracture Dilation for Multiple Injections at The Devine Fracture Pilot Site

Our team has conducted electromagnetic (EM) surveys for the past six years to monitor hydraulic-fracture behavior at the Devine Fracture Pilot Site (DFPS). The sub-horizontal orientation of a shallow hydraulic fracture at the DFPS provides uniform access to the fracture area for interrogation and data collection. Ahmadian et al. (2023) suggested a possible correlation between spatiotemporal changes in the flow rate, bottomhole pressure (BHP), and the observed surface recorded electric field at the DFPS. In this paper, we present the development of poroelastic forward models and pressure transient analyses (PTAs) to support the development of a multiphysics inverse model for these EM surveys. 
First, we conducted PTAs of the shut-in periods after six injections out of 10 to determine the fracture closure pressure (FCP) or the overburden pressure used in a poroelastic fracture reopening model. Second, we developed a finite-element poroelastic model throughout five injection cycles to include the effect of the cumulative injected volumes due to the previous injections on current fracture dilation in the presence of highly permeable unpropped and propped zones adjacent to the cohesive layer that models fracture reopening. Fracture reopening in this poroelastic model is based on a calibrated traction-separation response using the bottomhole pressure collected in two injection campaigns in 2020 and 2022. We used the outcomes of a previous simulation study of the primary hydraulic-fracturing stimulation to define the dimension of an unpropped fracture zone ahead of the propped fracture area.
The PTAs led to FCPs consistent with those obtained using the injection data collected at the DFPS in 2020. Further, these analyses showed that at later injections, the fracture closure occurred at a later time with respect to the shut-in time, inferring the effect of cumulative injected volumes in previous injections. The simulation results show that considering the propped and unpropped fracture zones improves our poroelastic model in predicting the injection-well BHP. The numerical simulation results demonstrate a significant excess pore pressure near the fracture because of the preceding formation loadings by the previous injections.
The obtained fracture dilation area and fluid pressure distribution provide a basis to improve the development of a multiphysics inverse model. Furthermore, in an iteratively coupled scheme, this pressure distribution can be introduced into EM models to render a holistic view of the causative mechanisms for the surface signal anomalies.


Tags: Abaqus, Electrically active proppant, Hydraulic fracture diagnostics, Hydraulic fracturing, Pressure transient analysis, cohesive zone model, electromagnetic survey, finite element modeling, fracture mapping, fracture stimulation, reservoir simulations
Natural Gas Infrastructure

NETL’s Natural Gas Infrastructure (NGI) Field Work Proposal aims to strengthen natural gas pipeline reliability and reduce emissions on two fronts: quantifying greenhouse gas (GHG) emissions and developing material and sensor technologies that will help to mitigate these emissions. Research in this FWP will also help address the reliability, public safety, operational efficiency, and flexibility of the Nation’s aging natural gas infrastructure.

Tags: Advanced Sensors, GHG emission, Greenhouse Gas, Greenhouse Gas Emissions, Infrastructure, Natural Gas Infrastructure, Oil and Gas Infrastructure, Sensors, advanced pipeline materials
CT_Data_of_Gas_Migration_in_Setting_Cement

Computed tomography experimental data associated with the submitted manuscript "Migration of air bubbles in a column of cement slurry" by N’dri Arthur Konan, Eilis Rosenbaum, Dustin Crandall, Mehrdad Massoudi. 
Full description with citation to be updated when manuscript is accepted. 

Tags: Computed Tomography, Gas migration, Wellbore cement