Resource Estimation Research Articles

Use of artificial neural networks for solving the problem of residual resource estimation of hoisting cranes

The work is devoted to the problems of practical application of artificial neural networks (ANN) for estimation of residual resource of hoisting machines on the example of estimation of residual resource of bridge-type cranes. The work describes in detail the programming process of ANN which allows to determine the residual resource of metal structures of a hoisting crane depending on degradation of hardness of the metal structures material. The purpose of the work was to create new software for solving the problem of estimating the residual resource of the hoisting crane which appointed service life has ended. The basis for training of ANN was the existing knowledge of hoisting cranes operation, namely the statistical database of typical crane damages, expert assessment of the technical condition of hoisting cranes, and recommendations of the existing standards to identify defect indicators of hoisting cranes. The software is written in Python programming language. The work lists different ways of programming a neural network for an estimation of residual resource of hoisting cranes. The first way is more complex and painstaking and consists of writing the programme code of the neural network manually, the second way involves using a free interactive library Skicit-learn. A new software has been created to estimate the residual resource of hoisting cranes depending on degradation of hardness of metal structures material. The programme can be used by specialists and experts as an intellectual decision-making support system for determining the residual resource of hoisting cranes. The detailed algorithm of neural network programming is presented for possible use of this information in other areas of technical diagnostics of various mechanical engineering objects.

Results of Quantitative Estimation of Unconventional Oil Resources of the Russian Federation

Abstract —The estimation results of the initial total unconventional resources of hydrocarbon in Domanik type sediments, the Khadum and Bazhenov formations are provided. The reasonability of estimating hydrocarbon resources in these deposits by the volumetric method is substantiated. The stratigraphic interval of their distribution is given. The technique of oil and gas geological zoning based on the mapping of structural and facies zones, the degree of catagenetic transformation of organic matter, and the boundary values of the thickness of carbonaceous rocks in the section is described. The criteria for the allocation of pay intervals that make up the effective part of the section are determined. The choice of parameters such as porosity coefficient, oil recovery coefficient, oil saturation coefficient, correction factor and oil density is justified. For each complex of deposits, adjustments related to the features of the geological structure of the estimation targets, the conditions of their occurrence and the degree of geological and geophysical study have been introduced into the estimation of total geological resources. The volumes of total geological and recoverable resources of unconventional hydrocarbon sources for the Volga– Ural, Timan–Pechora, Black Sea–North Caucasus, West Siberian and Lena–Tunguska oil and gas provinces are given. The conducted research has rationalized extensive resources, the recovery of which can compensate for the decrease in oil volumes from traditional deposits.

Geothermal resource estimation of Uttarakhand region, India

With many countries dependent on imported fuels, governments and industries are diversifying energy sources, including geothermal energy. Geothermal energy, derived from the Earth's internal heat, holds significant potential as a renewable energy source. The present work focuses on the geothermal resource estimation of the Uttarakhand region in India. Critical subsurface reservoir parameters for geothermal extraction and estimates of potential resources are reviewed through an analysis of geological formations, temperature gradients, and rock permeability. Various estimation methods, including surface heat flux, volume methods, and probabilistic methods, are discussed, with a particular emphasis on the Monte Carlo method. Assessment of the resource potential of the Uttarakhand geothermal system using available data estimates the resource potential of the Uttarakhand prospect, revealing an energy estimate of 1.26*10^15 J/kg (P50 case). Correspondingly, for the P90 and P10 scenarios, the estimated heat stands at 2.30*10^15 J/kg and 2.6*10^14 J/kg, respectively. However, successful exploitation requires a thorough understanding of subsurface reservoir parameters and careful resource estimation. This comprehensive analysis offers valuable insights for policymakers, researchers, and industry stakeholders interested in harnessing geothermal energy for sustainable development.

PEAK-TO-AVERAGE POWER RATIO OF SPECTRALLY EFFICIENT FDM SIGNALS

The change of the number of subcarriers in SEFDM signal from 5 to 1024 leads to the growth of the PAPR (peak-to-average power ratio) from 4.5 to 9 dB. PAPR of SEFDM signals stays about constant (instability is no more than 5%) while normalized subcarriers frequency spacing increase from 1/2 to 1. It indicates no additional energy loss during the transition from OFDM signals to SEFDM signals, caused by an increase in the PAPR. It is proposed to use a part of the resulting gain in the frequency band to reduce PAPR. The method, based on modification of Tone Insertion method, was developed. Developed method consists in adding additional subcarriers with randomly generated manipulation symbols to the SEFDM signal. SEFDM symbol with minimal PAPR is chosen to be send. According to this method the PAPR can be reduced in average of 1.4 dB. The degree of reduction of the PAPR depends on the size of the channel alphabet of additional subcarriers (changing of the average win is 0.6 dB for BPSK to 1.4 dB for QAM-64) and the number of combinations of symbols of additional subcarriers (1.6 dB for 1000 combinations for QAM-64). According to estimation of the FPGA resources for implementation of PAPR reduction algorithm it is required relatively small resource costs compared to the formation of SEFDM signal without reduction.

Optimized resource allocation in cloud computing for enhanced performance with modified particle swarm optimization

Cloud Computing (CC) offers abundant resources and diverse services for running a wide range of consumer applications, although it faces specific issues that need attention. Cloud customers aim to choose the most suitable resource that fulfills the requirements of consumers at a fair cost and within an acceptable timeframe; however, at times, they wind up paying more for a shorter duration. Many advanced algorithms focus on optimizing a single variable individually. Hence, an Optimized Resource Allocation in Cloud Computing (ORA-CC) Model is required to achieve equilibrium between opposing aims in Cloud Computing. The ORA-CC study aims to create a task processing structure with the decision-making ability to choose the best resource in real-time for handling diverse and complicated uses on Virtual Computers (VC). It will utilize a Modified Particle Swarm Optimization (MoPSO) method to meet a deadline set by the user. The fitness value is calculated by combining a base value with the enhanced estimation of resources based on the ORA-CC algorithm to create a robust arrangement. The ORA-CC technique's effectiveness is evaluated by contrasting it with a few current multi-objective restrictions applied to machine scheduling strategies utilizing the Cloudsim simulation. The comparison demonstrates that the suggested ORA-CC strategy offers more efficient resource allocation than other techniques.

Spectral Gamma Ray Log-Based Shale Volume Estimation of a Gas Well, Bengal Basin

Background: Formation evaluation plays a pivotal role in identifying lithology and its depth of occurrence in gas fields. This study focuses on the Bengal Basin, aiming to achieve lithology identification and shale volume estimation in a gas well. Method: The gamma ray (GR) log is utilized to measure natural radioactivity, with spectral gamma ray (SGR) employed to capture concentrations of potassium, uranium, and thorium in clastic sedimentary formations. Lithology identification is conducted using resistivity, SGR, and GR logs, while shale volume estimation utilizes standard models including GR and true resistivity approaches. Results: The lithology of the studied well predominantly comprises clastic sedimentary rocks, specifically sand and shale. The reservoir rock type is primarily sandstone, with sand being the dominant fraction and shales appearing laminated. Concentrations of thorium, uranium, potassium, and gamma ray are approximately 12.46 ppm, 2.28 ppm, 1.73%, and 100 API, respectively. The shale volume of the gas reservoir ranges from 12% to 29%. Conclusion: The estimated shale volume provides valuable insights for assessing effective porosity and hydrocarbon saturation in shaly sand reservoirs, facilitating gas resource estimation and reservoir characterization in the sedimentary basin. This study underscores the significance of comprehensive formation evaluation techniques in optimizing reservoir management and resource extraction strategies.

Mineralogical features and formation conditions of the Zafar copper-gold deposit (Lesser Caucasus, Azerbaijan)


 
 
 The Zafar copper-gold deposit is located in Gadabay ore district, 3.5 km northwest of the Gadabay gold mine and 2 km southwest of the Ugur mine. This newly discovered cop- per-gold deposit contains 6.8 million tonnes of measured resource (0.5% Cu, 0.4 ppm Au and 0.6 % Zn, according to Zafar JORC Mineral Resource Estimate Update Report 2022). SEM analyses were carried out via «JSM-6610LV Scanning Electron Microscope» manufactured by JEOL USA. Petrographic studies were carried out using a ZEISS microscope with ZEN 2.3 imaging software. In this stage of the research we defined mineralogical properties of rocks and gold bearing mineralization type. According to the SEM analysis, gold mineralization formed in the pyrite, chalcopyrite (their derivatives too) stages. Based on the mineralogical study, the main ore minerals consist of pyrite, chalcopyrite, enargite, sphalerite, arsenopyrite, galena, baryte, pyrrhotite and sternbergite (silver mineral) based on polished section results. The main gangue minerals are quartz, baryte and carbonate. Quartz crystals in bands are euhedral to anhedral, vary in size from microcrystalline to coarse grained. The Zafar deposit was formed by two events. The first event is the formation of the «massive pyrite» related to small Later Bajocian sub-volcanic rhyolite-dacite bodies. The second event is assumed to be «copper-pyrite» and «copper-zinc» mineralization and is reported to be formed by the post-magmatic activity of the Gadabay diorite intrusive. This study has demonstrated new ideas about the formation and genesis of the Zafar deposit. The K-rich calc-alkaline composition of various rocks indicates that subduction-related magmatism occurring along Lok-Karabakh belt had a crucial role in forming this deposit. The information given in the article is of practical importance for regional predictive metallogenic constructions, prospecting and evaluation of epithermal Au–Cu deposits.
 
 

Enhancing Model Calibration and Uncertainty Estimation through Multi-Objective Optimization with SUFI-2 Algorithm

The research aimed to quantify the uncertainty in hydrological modeling results, especially in data-scarce areas like the Teesta River. The developed grid-based model from Texas Agricultural and Management University (TAMU) with the help of simulation plugin Quantum Soil and Water Assessment Tools (QSWAT) and calibration (CAL) & validation (VAL) using SWAT-Calibration Uncertainty Program (CUP). Multiple algorithms Minimize & Maximize (MIN & MAX), specifically with Sequential Uncertainty Fitting Version-2 (SUFI-2) algorithm (Best fitted simulation), were used as the popular for the many ideal simulations as possible that are within 95% of the true predictions. The research investigated how eleven different objective functions (OBJF) influenced the CAL results, parameterization, and surface water estimation for the stream flow of the Teesta River. While several OBJF performed well, eight of them, namely Chi-square (Chi2), Multiplicative (Multi), Modified Nash-Sutcliffe efficiency factor (MNSE), Nash-Sutcliffe efficiency (NSE), summation (SUM), Coefficient of determination (R2), Modified coefficient of determination (bR2), and Relative Squared Error (RSR), consistently yielded very similar results because of mostly used MIN methods. For instance, NSE resulted in a CAL & VAL score of 0.85 and 0.88, while R2, MNSE, and bR2 had scores of 0.88 and 0.89 during both CAL & VAL periods. All results from NSE, R2 and bR2 show a correlation between 0.84 to 0.90. However, other OBJF provided slightly different sensitivity values. The Percentage Bias (PBIAS) scored 0.76 for CAL and 0.77 for VAL. The Kling-Gupta efficiency (KGE) scored 0.79 during both the CAL & VAL periods. Additionally, the sum of squares (SSQR) obtained shallow values for both CAL & VAL processes. The aforementioned research shows that varied OBJF can affect CAL findings and hydrological modelling parameter values, emphasizing the need to use several OBJF in uncertainty analysis for more accurate water resource estimation the calibrated model and its outputs aid hydrologists and water resource administrators in agricultural and water assessment. They also support research on climate change's effects on water supply and quality, droughts, and food. The unique idea and flexible techniques make them suitable for most countries.

Estimation of Laterite Nickel Resources Using Ordinary Krigging Method at PT Vale Indonesia Nuha District East Luwu South Sulawesi Province

Resources have an economic value, form, quality, quantity rate, geological characteristics, and endurance to be economically extracted. Mineral resources are grouped according to their degree of geological certainty into the categories of assumed, indicated, and measured. The research aims to assess the potential resource potential of nickel laterite and the spread of the rate of mineralization of nickel in the research area using the geostatistical method of Ordinary Kriging. The research methodology is based on conducting statistical and geostatic analysis, starting with univariate statistical analysis, spatial statistics, bivariate statistics, and resource estimates. The results of the statistical calculation using the Ordinary Kriging for limonite and saprolite zones with an average gap of 25 meters and an average depth of 20 meters with their parallel directions to the west, north-northeast, south-east, southeast, and west-southwest obtained a total volume of 119,920,468 m3 with a tonnage of 201,798,081 tons and a mean rate of nickel laterite of 1.56% Ni. Based on the results of an evaluation, it can be concluded that the number of nickel laterite deposits with a cut-off grade of 1.4% is 89,804,733 tons and the average rate is 1.83% Ni.

Ring-shape and linear gold mining districts of zimbabwe: estimation of residual gold resources

Background. Despite the long history of exploitation and study of Zimbabwe’s geological potential, the ranks of gold ore formations at the level of regions and fields remain unclear. Assessment of the residual primary gold deposits in Zimbabwe appears an important research direction.Aim. Identification of ring-shaped and linear ore districts confined to greenstone belts corresponding in configuration within the gold province of the Zimbabwe craton.Materials and methods. The main method for analyzing gold ore deposits was ore formation analysis. To analyze the residual gold resources in the regions of Zimbabwe, the Zipf-Lotke-Bradford rule was applied according to the ratio of an outstanding rare event in the form of a large deposit, rather rare events in the form of medium-sized deposits, and fairly rare events in the form of small ore objects in a certain ore region.Results. A hypothesis is proposed for the formation of ring-shaped belts as ore-bearing volcano-tectonic structures of the central type. Within the gold province of the Zimbabwe craton, ore districts of ring-shaped and linear shape, confined to greenstone belts corresponding in configuration, are identified for the first time. It is shown that the localization of deposits in ore regions is due to a combination of the following criteria: ancient faults, arc fragments of greenstone belts, and the development of post-tectonic multiphase granitoid magmatism. A ranking of deposits was carried out in the ore districts of Darwin, Shamva, Midlands, Bulawayo, Gwanda, Busha Mwezi - Fort Victoria, Shashe - Ozi-Umatli, and Sinoia. Five gold mining areas corresponding to volcano-plutonic ring-shape structures and three linear areas were identified. Productivity is predicted to be highest in the Midlands, Bulawayo, and Shamva ring-shape regions. An assessment of the residual gold resources of each of the selected areas is given. The feasibility of detailing important forecast criteria — Late Archean linear and arc faults and post-tectonic granitoids — with the development of additional criteria for further metallogenic zoning and localization of promising areas is established.Conclusions. The presented data serve as the basis for assessing the prospects of industrially important primary gold deposits in Zimbabwe and carrying out their forecast in the identified gold mining areas.

The cost of proband and trio exome and genome analysis in rare disease: A micro-costing study

PurposeRare disease genomic testing is a complex process involving various resources. Accurate resource estimation is required for informed prioritization and reimbursement decisions. This study aims to analyze the costs and cost drivers of clinical genomic testing. MethodsBased on genomic sequencing workflows we microcosted limited virtual panel analysis on exome sequencing backbone, proband and trio exome, and genome testing for proband and trio analysis in 2023 Australian Dollars ($). Deterministic and probabilistic sensitivity analyses were undertaken. ResultsPanel testing costs AUD $2373 ($733-$6166), and exome sequencing costs $2823 ($802-$7206) and $5670 ($2006-$11,539) for proband and trio analysis, respectively. Genome sequencing costs $4840 ($2153-$9890) and $11,589 ($5842-$16,562) for proband and trio analysis. The most expensive cost component of genomic testing was sequencing (36.9%-69.4% of total cost), with labor accounting for 27.1%-63.2% of total cost. ConclusionWe provide a comprehensive analysis of rare disease genomic testing costs, for a range of clinical testing types and contexts. This information will accurately inform economic evaluations of rare disease genomic testing and decision making on policy settings that assist with implementation, such as genomic testing reimbursement.

Estimation of Ground Water Recharge in the Command Area of Krishna Central Delta

Groundwater recharge is the most important component in all the water balance studies and in ground water development projects as a part of sustainable groundwater management. Norms set by the Groundwater Resource Estimation Committee, GEC-2015 was used for the estimation of recharge. The study was conducted for the Bandar canal command area constituting the Krishna Central Delta in Andhra Pradesh. Following the norms of GEC-2015, the recharge was estimated for the past decade from 2012-13 to 2021-22 and it was found that recharge rate ranged from 438135.8 ha-m in the year 2015-16 to 1677730 ha-m in the year 2013-14. While computing the gross recharge, recharge attributed by rainfall, canal seepage, irrigation return flow and from the ponds/tanks are considered. Recharge estimated sheds information on replenishment and improved management of coastal aquifers where seawater intrusion is a major problem.

Resources Estimation of Laterite Nickel Using Ordinary Kriging Method at PT Mahkota Semesta Nikelindo District Wita Pond Morowali District

Resources have economic value, form, quality, quantity, grade, geological characteristics, and certain sustainability to be extracted economically. Mineral resources decrease based on the level of geological confidence in the Inferred, Indicated, and Measured categories. This study uses the Ordinary Kriging geostatistical method to assess the potential of nickel laterite resources and the distribution of nickel mineralization levels in the study area. The research methodology was inspired by statistical and geostatistical analysis, starting with univariant statistical analysis, spatial statistics, bivariant statistics, and resource estimation. For later use in determining the distribution of mineralization grades and classifying nickel laterite resources using the Relative Kriging Standard Deviation (RKSD) calculation. This method estimates nickel content in a block whose grade value is unknown. The results of statistical calculations using Ordinary kriging obtained an average grade value of 2.90% Ni. Mineralization data for nickel content in limonite layers with Ni content of 0.5 – 1.3% and saprolite layers with Cut of Grade (COG) Ni, > 1.4 – 3.1% Ni in limonite and saprolite layers are projected in the block model. The estimated tonnage of nickel resources using the OK method is 670,837.83 tonnes. Laterite nickel resource classification results RKSD calculation are classified into measured resources (Measured).

Recalibration of CO2 storage in shale: prospective and contingent storage resources, and capacity

Storing CO2 in shale formations is an essential complement to the resources of geological CO2 sequestration and the achievement of carbon neutrality. However, previous estimations have reported significant discrepancies in estimating CO2 storage resources. To rationalize and address the broad range of these resource estimates, we introduce a categorization framework inspired by the SRMS (CO2 Storage Resources Management System). Thus, we reclassify estimates according to the categories of prospective storage resources, contingent storage resources, and capacity estimates for CO2 storage in shales, in rank order considering the decreasing challenge associated with their attainment (such as energy/pressure requirements and time-consumed in injection). Classical volumetric and production-based methods are employed for assessing prospective and contingent storage resources, respectively. The capacity is estimated by analyzing the historical records of hydraulic fracturing, focusing on the dominant role of fractures in the storage process. A significant disparity (two to three orders of magnitude) is revealed between capacity and contingent or prospective storage resources, which aligns with known challenges encountered during field injections. This disparity highlights the importance of further efforts and advanced techniques to secure CO2 injection in fields and recalibrate the geological CO2 inventories to achieve carbon neutrality.

Contemporary Public Health Finance: Varied Definitions, Patterns, and Implications.

The financing of public health systems and services relies on a complex and fragmented web of partners and funding priorities. Both underfunding and "dys-funding" contribute to preventable mortality, increases in disease frequency and severity, and hindered social and economic growth. These issues were both illuminated and magnified by the COVID-19 pandemic and associated responses. Further complicating issues is the difficulty in constructing adequate estimates of current public health resources and necessary resources. Each of these challenges inhibits the delivery of necessary services, leads to inequitable access and resourcing, contributes to resource volatility, and presents other deleterious outcomes. However, actions may be taken to defragment complex funding paradigms toward more flexible spending, to modernize and standardize data systems, and to assure equitable and sustainable public health investments.

Integration of a Low Gas-Saturated Zone in Creating a 3D Model of the Medvezhye Field

3D geological modeling is an integral part of reserves estimation and project documentation for the development of gas and oil fields. The developed 3D geological model of the Cenomanian productive complex including the low gas-saturated zone of the Medvezhye field represents a combination of data from the drilling of 350 wells, the structural features of the reservoir, permeability properties determined on cores, seismic surveys, and the results of geophysical well surveys. Based on examining the available well logs recorded in the Medvezhye field wells, the low gas-saturated zone is integrated into the construction of the 3D geological model of the Medvezhye field of the Cenomanian productive complex. A total of three models are constructed, and a 400*400*0.4 m grid is recommended for further hydrodynamic modeling. A comparison of the three grids suggests that a more detailed model delivers more thorough results, however, heavy models cannot be applied to hydrodynamic modeling. Resource estimations do not differ across the three grids significantly.

Health economics aspects of kidney transplantation in Sicily: a benchmark analysis on activity and estimated savings.

International and national registries consistently report substantial differences in kidney transplant (KT) activity despite demonstrable clinical and financial benefits. The study aims to estimate the financial resources gained by KT and produce a benchmark analysis that would inform adequate strategies for the growth of the service. We analyzed the KT activity in our region between 2017 and 2019. The benchmark analysis was conducted with programs identified from national and international registries. The estimate of financial resources was obtained by applying the kidney transplant coefficient of value; subsequently, we compared the different activity levels and savings generated by the three KT programs. The KT activity in the region progressively declined in the study years, producing a parallel reduction of the estimated savings. Such savings were substantially inferior when compared to those generated by benchmark programs (range €18-22 million less). The factors influencing the reduced KT activity in the study period with the related "foregone savings" are multiple, as well as interdependent. Organ donation, access to the transplant waiting list, and KT from living donors appear to be the most prominent determinants of the observed different levels of activities. International experience suggests that a comprehensive strategy in the form of a "task force" may successfully address the critical areas of the service reversing the observed trend. The financial impact of a progressively reduced KT activity may be as critical as its clinical implications, jeopardizing the actual sustainability of services for patients with end-stage kidney disease.

A hybrid meta-heuristic algorithm for multi-objective IoT service placement in fog computing environments

The fog computing paradigm is promising for deploying various delay-sensitive Internet of Things (IoT) applications. The resource-constrained fog devices restrict the number of application deployments due to a lack of efficient resource estimation and discovery mechanisms for various emergent heterogeneous IoT applications. An efficient resource allocation strategy is one of the best choices to meet these application’s Quality of Service (QoS) requirements and improve system performance. However, finding the best allocation strategy for IoT applications with more than one QoS parameter is a challenge, and it has been proved as a non-deterministic polynomial time (NP)-complete problem. This article formulates a classical weighted multi-objective IoT service placement to optimize three parameters, i.e., makespan, cost, and energy. The non-convexity nature of the solution space motivates us to focus on the population-based meta-heuristic algorithm, i.e. Genetic Algorithm (GA), Simulated Annealing (SA) and Particle Swarm Optimization (PSO), along with their combination GA-SA, and GA-PSO. It implements the algorithm and compares it with the greedy-based random placement approach, varying the number of IoT applications with different parameters. The final results reveal that the hybrid method GA-SA outperforms other state-of-the-art algorithms.

Multi-index-weighted geothermometer estimation of geothermal reservoir temperature: Applications and future directions

Geothermal reservoir temperature (GRT) is an important factor for estimation of geothermal resources and exploitative potential. Errors in the estimated temperature of a geothermal reservoir can likely result from the use of a single geothermometer or the average. Therefore, there is an urgent need for novel and more accurate methods for estimating GRT. Taking Yitong Basin, China as the study area, this study collected water samples and measured the geothermal water temperature of 26 geothermal wells. After application of the improved entropy method (IEM) to the collected data, a multi-index weighted geothermometer (MIWG) was proposed. The MIWG provided the most accurate estimation of temperature, with average errors in temperature estimation for quartz, chalcedony, Na–K, K–Mg, and MIWG of 57.58 %, 15.86 %, 29.92 %, 42.03 %, and 11.94 %, respectively. This novel approach to estimating GRT has clear advantages, including wide applicability, and can provide a new pathway for future related research.

1547. Integrating Long-acting Injectable Cabotegravir for PrEP into Standard of Care for Cisgender Women, Transgender Women, Transgender Men, and Men Who Have Sex with Men: Results from the PILLAR & EBONI Studies

Abstract Background EBONI and PILLAR are Phase IV implementation science trials evaluating the integration of long-acting injectable Cabotegravir for PrEP (CAB LA) into standard of care at 37 clinics across the U.S. EBONI enrolls Black cisgender/transgender women and PILLAR enrolls men who have sex with men (MSM)/transgender men. We report CAB LA implementation plans among staff study participants (SSPs). Methods Of 105 SSPs from 20 EBONI sites, 65 (62%) from 14 activated clinics completed baseline surveys starting in August 2022. Eighty-six (100%) SSPs from all 17 PILLAR clinic sites completed surveys from April-October 2022. Various clinic types were selected to enroll diverse populations. Survey domains included SSPs’ perceptions of implementing CAB LA, plans for integration, and estimation of resources needed for integration were collected. Results Table 1 presents notable gender and racial differences among SSPs across the studies. Table 2 reveals similar SSPs’ experience with PrEP and injections within the two studies. A high proportion of SSPs (EBONI: 97%; PILLAR: 85%) felt extremely positive or positive about implementing CAB LA. The majority of SSPs in EBONI (74%) than in PILLAR (53%) perceived implementation would be very easy or easy. Regarding CAB LA integration plans, compared to EBONI, SSPs in PILLAR reported being able to manage more CAB LA patients per week; having more staff prepared to give injections; having a specific person to follow up with no-shows; planning to have providers track patients; and planning to offer drop-in injection options (Table 3). However, more SSPs in EBONI reported plans to create roles to coordinate the CAB LA program. Various appointment reminder tools are in place and used in similarly high proportions across both studies. However, a higher proportion of SSPs in PILLAR reported using email and postal reminders. Conclusion Healthcare staff were positive about integrating CAB LA into care. Sites serving MSM and transgender men had more detailed implementation plans in place than those serving cisgender and transgender women. Sites serving women may need additional support to develop their plans to build staff and clinic capacity. To address the gaps identified in clinic planning, an equity-centered implementation strategy should be employed. Disclosures William M. Valenti, MD, FIDSA, Gilead: Grant/Research Support|ViiV Healthcare: Grant/Research Support John Phoenix, MSN, APRN, FNP-C, Gilead: Grant/Research Support|Gilead: Speaker Bureau|Huntridge Family Clinic: Ownership Interest|Napo Pharmaceuticals: Speaker Bureau|ViiV Healthcare: Grant/Research Support|ViiV Healthcare: Speaker Bureau Rupa R. Patel, MD MPH, Gilead: Advisor/Consultant|Gilead: Grant/Research Support|Roche: Advisor/Consultant|ViiV Healthcare: Advisor/Consultant|ViiV Healthcare: Grant/Research Support Zandraetta Tims-Cook, MD, ViiV Healthcare: Speaker Nanlesta Pilgrim, PhD, ViiV Healthcare: Employment|ViiV Healthcare: Stocks/Bonds Amber Haley, PhD, ViiV Healthcare: Former Employment Kenneth Sutton, MA, ViiV Healthcare: Employment|ViiV Healthcare: Stocks/Bonds Alison Gaudion, PhD, ViiV Healthcare: Employment|ViiV Healthcare: Stocks/Bonds Deanna Merrill, PharmD, MBA, AAHIVP, ViiV Healthcare: Employment|ViiV Healthcare: Stocks/Bonds Rimgaile Urbaityte, MSc, GSK: Employment|GSK: Stocks/Bonds Bo Li, PhD, GSK: Employment|GSK: Stocks/Bonds David Andrae, PhD, Evidera: Employment Abigail Herbst, MPH, Evidera: Empoyment|ViiV Healthcare: Grant/Research Support Harmony Garges, MD, GSK: Stocks/Bonds|Medexus Pharmacy: Board Member|ViiV Healthcare: Empoyment Maggie Czarnogorski, MD MPH, ViiV Healthcare: Employment|ViiV Healthcare: Stocks/Bonds