Maximizing Stimulation Efficiencies in Offshore Multistage Completions, Black Sea, Romania

This paper presents an analysis of the stimulation treatment design and operational efficiencies in the Black Sea. In greater detail, the paper focuses on how the stimulation design and each operational step has been optimized to save time, money and ensure an HSE driven completion methodology. An analysis was performed on the stimulation design and implementation approach looking at its evolution through a knowledge building and lesson learning process. The principal goal was to determine the most economical way to stimulate an offshore well without making any concessions to the reservoirs’ production or ultimate recovery. From the basics of well and frac design to completion optimization, effort was applied in analyzing ball launching procedures, frac spacing, logistical arrangements on the stimulation vessel and all other areas where there was potential to make improvements. Ultimately, an analysis of fluid displacements during flush was performed and deductions inferred. Past stimulation treatments were analyzed in an effort of better understanding the advantages and disadvantages in terms of production output of the wells. Similarly, an analysis of the completion approach and operational efficiencies showed the ability of pumping three stimulation stages a day. Considering that horizontal wells in the area are usually completed in six stages, a stimulation campaign would effectively be completed in 2 pumping days, 4 days total if no weather or operational delays are faced. Further improvements of this approach have been implemented in 2021 when six stimulation stages have been pumped in a single vessel ride. Applying the ball drop procedure offshore showed optimal results, as it is efficient in reducing downtime in between fracturing stages and in achieving proper isolation between stimulation zones. Likewise, with over flush being a concern throughout most of the stimulation population, certain cases in the Black Sea showed that over flushing did not adversely affect production of the wells with the production exhibiting ~15% above expected production rates post stimulation. In conclusion, the authors believe that the operational efficiencies achieved in the Black Sea are transposable in other offshore environments and successful cost cutting can be achieved by sound engineering and logistical decisions. The approach and results are beneficial in understanding where the economics are positively impacted in multistage stimulation treatments in the offshore environments, hence ultimately improving the rate of return.

Implementation of Hardware-Based Expert Systems and Comparison of Their Performance to Software-Based Expert Systems

Expert systems are a form of highly understandable artificial intelligence that allow humans to trace the decision-making processes that are used. While they are typically software implemented and use an iterative algorithm for rule-fact network processing, this is not the only possible implementation approach. This paper implements and evaluates the use of hardware-based expert systems. It shows that they work accurately and can be developed to parallel software implementations. It also compares the processing speed of software and hardware-based expert systems, showing that hardware-based systems typically operate two orders of magnitude faster than the software ones. The potential applications that hardware-based expert systems can be used for and the capabilities that they can provide are discussed.

A Strategy Matching Tool for Boosting Implementation of Geriatric Telehealth Services in Rural CBOCs

Fifteen Veterans Administration Medical Centers (VAMCs) offer geriatric specialty care telehealth services through a hub and spoke model to patients at affiliated community-based outpatient clinics (CBOCs). These services are not used to the extent they could be. Through interviews with 50 staff and providers at rural CBOCs we identified several implementation facilitators and barriers. CBOC-level barriers included space constraints, low staffing, internet connection issues, and limited knowledge of services available and referral processes. Patient-level barriers included discomfort with technology, cognitive decline, and inability to travel to the CBOC. We found that champions within the CBOC and iterative, targeted outreach from the hub helped facilitate uptake of services. We entered the identified barriers into the CFIR-ERIC (Consolidated Framework for Implementation Research-Expert Recommendations for Implementing Change) Implementation Strategy Matching Tool to help generate targeted strategies that will be used to refine each hub’s implementation approach.

The Value of the Evidence Integration Triangle

The Evidence Integration Triangle involved engaging stakeholders in the 12 month FFC-AL-EIT activities including identifying community specific goals, supporting the staff implementing the intervention, and intervening when champions or staff were not engaged in intervention activities. Ongoing participation of the stakeholder team occurred through monthly meetings. Evaluation of implementation was based on the Reach Effectiveness Adoption Implementation and Maintenance (RE-AIM) Model. Reach was based on 85 of 90 communities participating and 794 residents recruited. Effectiveness was supported based on less functional decline and more function focused care performed by residents. Adoption was based on evidence that monthly meetings were held, 77% of settings engaged as, or more than expected, and caregivers increased the amount of function focused care provided. The intervention was implemented as intended, knowledge was received, and environments and policies supporting function focused care were maintained. The Evidence Integration Triangle is an effective implementation approach for assisted living.

An approach for Industrie 4.0-compliant and data-sovereign Digital Twins

Data sharing between enterprises requires both interoperability and data sovereignty. In the application domain of industrial production an integrated approach is required that encompasses standards and technologies of both Industrie 4.0 and the International Data Spaces (IDS). This paper describes how to combine them for the concept of Digital Twins following the architectural framework given in ISO DIS 23247. Furthermore, an implementation approach is described relying upon the Fraunhofer Advanced AAS Tools for Digital Twins (FA³ST). The resulting architectural approach may be combined with further open manufacturing standards, and may be applied for data analytics and the engineering of AI-based systems.

An Implementation Approach for the Humboldt Extension to Darwin Core

The Humboldt extension to the Darwin Core Standard Event Core has been proposed in order to provide a standard framework to capture important information about the context in which biodiversity occurrence observations and samples are recorded. This information includes methods and effort, which are critical for determining species abundance and other measures of population dynamics, as well as completeness of survey coverage. As this set of terms is being developed, we are using real-world use cases to ensure that these terms can address all known situations. We are also considering approaches to implementation of the new standard to maximise opportunities for uptake and adoption. In this presentation I provide an example of how the Humboldt extension will be implemented in the Atlas of Living Australia’s (ALA) BioCollect application. BioCollect is a cloud-based multi-project platform for all types of biodiversity and ecological field data collection and is particularly suited for capturing fully described complex protocol-based systematic surveys. For example, BioCollect supports a wide array of customised survey event-based data schemas, which can be configured for different kinds of stratified (and other) sampling protocols. These schemas can record sampling effort at the event level and event effort can be aggregated across a dataset to provide a calculated measure of effort based on the whole dataset. Such data-driven approaches to providing useful dataset-level metadata can also be applied to measures of taxonomic completeness as well as spatial and temporal coverage. In addition, BioCollect automatically parses biodiversity occurrence records from event records for harvest by the ALA. In this process, the semantic relationship between the occurrence records and their respective event records is also preserved and linkages between them enable cross-navigation for improved contextual interpretation. The BioCollect application demonstrates one approach to a practical implementation of the Humboldt extension.

Barriers and enablers to implementing ‘DEALTS2’ simulation-based train-the–trainer dementia training programme in hospital settings across England: a qualitative study

Background Despite approaches to provide effective dementia training in acute care settings, little is known about the barriers and enablers to implement and embed learning into practice. We were commissioned by Health Education England to develop and evaluate a new dementia training intervention ‘Dementia Education And Learning Through Simulation 2’ (DEALTS2), an innovative simulation toolkit to support delivery of dementia training in acute care across England. This study aimed to explore barriers and enablers experienced by trainers implementing DEALTS2 and extent to which it impacted on delivery of training and staff clinical practice. Methods We conducted twelve one-day DEALTS2 train-the-trainer (TTT) workshops across England in 2017 for National Health Service Trust staff employed in dementia training roles (n = 199 trainers); each receiving a simulation toolkit. Qualitative data were collected through telephone interviews 6–8 months after TTT workshops with 17 of the trainers. Open ended questions informed by the Kirkpatrick model enabled exploration of implementation barriers, enablers, and impact on practice. Results Thematic analysis revealed six themes: four identified interrelated factors that influenced implementation of DEALTS2; and two outlined trainers perceived impact on training delivery and staff clinical practice, respectively: (i) flexible simulation and implementation approach (ii) management support and adequate resources (iii) time to deliver training effectively (iv) trainer personal confidence and motivation (v) trainers enriched dementia teaching practice (vi) staff perceived to have enhanced approach to dementia care. Trainers valued the DEALTS2 TTT workshops and adaptability of the simulation toolkit. Those supported by management with adequate resources and time to deliver effective dementia training, were likely to implement DEALTS2. Trainers described positive impacts on their teaching practice; and perceived staff had enhanced their approach to caring for people with dementia. Conclusions Trainers explained individual and organisational barriers and enablers during implementation of DEALTS2. The flexible simulation and implementation approach were key to supporting adherence of DEALTS2. To ensure wider implementation of DEALTS2 nationally, Trusts need to allocate appropriate time to deliver effective dementia training. Future research should measure staff behaviour change, patient perspectives of the intervention, and whether and how DEALTS2 has improved health and care outcomes.

Establishment of a Framework to Support Multi-Faceted Initiatives for Pharmacy-Practice Transformation: Lessons Learned

We describe the first two years of a multifaceted, five-year program to support sustainable pharmacist-provided health services in Alaska. In 2018, the Alaska Pharmacists Association funded the Sustainable Education and Training Model under Pharmacist as Providers (SETMuPP) to train and support pharmacists to navigate the insurance medical billing process for nondispensing healthcare services. The SETMuPP employed a three-pillar implementation approach: (1) training and practice support infrastructure, (2) PharmD curriculum augmentation, and (3) advocacy and legislative support. The first two years have demonstrated the effectiveness of triad partnerships between professional associations, state policy makers, and academic centers to catalyze meaningful practice transformation.

AccelSDP: A Reconfigurable Accelerator for Software Data Plane Based on FPGA SmartNIC

Software-defined networking (SDN) has attracted much attention since it was proposed. The architecture of the SDN data plane is also evolving. To support the flexibility of the data plane, the software implementation approach is adopted. The software data plane of SDN is commonly implemented on a commercial off-the-shelf (COTS) server, executing an entire processing logic on a commodity CPU. With sharp increases in network capacity, CPU-based packet processing is overwhelmed. However, completely implementing the data plane on hardware weakens the flexibility. Therefore, hybrid implementation where a hardware device is adopted as the accelerator is proposed to balance the performance and flexibility. We propose an FPGA SmartNIC-based reconfigurable accelerator to offload some of the operation-intensive packet processing functions from the software data plane to reconfigurable hardware, thus improving the overall data plane performance while retaining flexibility. The accelerated software data plane has a powerful line-rate packet processing capability and flexible programmability at 100 Gbps and higher throughput. We offloaded a cached-rule table to the proposed accelerator and tested its performance with 100 GbE traffic. Compared with the software implementation, the evaluation result shows that the throughput can achieve a 600% improvement when processing small packets and a 100% increase in large packet processing, and the latency can be reduced by about 20× and 100×, respectively, when processing small packets and large packets.