BIM–LLM integration in AECO workflows: Applications, validation, and future directions

Multipoint statistics (MPS) facies modelling has been recognized as an advanced modelling tool to help build more realistic and complex 3D facies models through training images. However, with the increased exposure of MPS to the geomodelling community, modellers have realized that creating a training image that properly represents their understanding of the studied reservoir with reasonable facies shapes and connectivity, as well as correct spatial associations and attachments, is not an easy task. To fulfil the goal for MPS to be a “geology-driven modelling suite” and make it a more practical tool for reservoir modelling, we have established an efficient workflow that ties 5 key components together: a comprehensive geological analogue database, a search engine, a statistics extractor, a training image builder and MPS facies models of studied reservoirs. The integrated workflow that is presented in this paper is expected to lay the foundation for the near future of MPS reservoir modelling in the industry

The use of a fast and integrated model work flow is a part of the IOR strategy, and is expected to lead to reduced uncertainty in reserves predictions and accelerated decision processes. Our basic idea is to have a model chain that is consistent, updateable and repeatable. To provide continuously updated and integrated models with reduced and quantified uncertainty, an integrated approach to reservoir modelling is required. In our integrated model work flow, the following requirements must be fulfilled: •In the model updating, different kinds of data can be incorporated (production data, pressure data and 4D seismic). •The consistency between the geo- and simulation models is maintained. •Model updating and uncertainty modelling are treated as an integrated process.The uncertainty is represented by an ensemble of realizations that are updated in the history matching. •The work flow must allow for fast model updating. The key is “no user interaction” during the updating process. Great care is taken to make each step in the work flow automatic. The fast and integrated model work flow is developed and demonstrated for the Grane field.

Although the use of workflow techniques based on Web services (WS) has grown rapidly for the past several years, there is still a significant gap to be bridged before such an approach is widely accepted as the standard way to build and represent WS-based applications. One of the reasons for this is the inability in most current workflow languages to support large and complex applications that require workflow integration and data sharing between workflows. In this paper, this issue is addressed by the introduction of the two approaches used in the Service Workflow Language (SWFL): the Procedure-Oriented approach, and the Objected-Oriented approach, for workflow integration. The data sharing and related synchronization issues that are associated with these workflow integration approaches are also discussed.

While cell hashing enhances single-cell RNA sequencing (scRNA-seq) efficiency and minimizes batch effects, commercial mouse hashtags often fail in FVB/N and several other strains due to antibody-epitope incompatibility. We describe a robust alternative utilizing biotinylated antibody cocktails and streptavidin-conjugated oligos to enable reliable sample multiplexing. This approach was validated in FVB/N lung tissues, yielding high-quality single-cell libraries. Our protocol offers a practical solution for researchers requiring strain-specific or custom-designed multiplexing strategies for single-cell transcriptomics. Key features • Strain-specific compatibility: Resolves the known H-2q haplotype mismatch in FVB/N mice that fails standard commercial MHC-I hashtag antibodies in cell hashing. • Multi-omic 5' workflow integration: Enables simultaneous sample multiplexing with 10× Genomics 5 chemistry, facilitating joint gene expression and V(D)J repertoire (TCR/BCR) profiling. • Enhanced non-immune cell labeling: Incorporates anti-CD326 (Ep-CAM) to ensure robust hashing of epithelial and tumor cells that may exhibit MHC-I downregulation or lack CD45. • Customizable biotin-streptavidin framework: Provides a modular system using biotinylated antibody cocktails and streptavidin-barcodes, adaptable for any mouse strain or tissue-specific cell markers.

ABSTRACTThe research tests a theory of JIT as a technology having task scope versus workflow integration dimensions. The results show that JIT task scope predicts JIT workflow integration, and that only the former is associated with organizational designs that are more specialized, decentralized, integrated, and reliant on formal performance measurement control. The findings imply that organizational structure does not necessarily follow from workflow structure. Rather, both organizational structure and workflow structure follow from the knowledge capital that JIT task scope represents.

Implementation of statewide protocols for community-based pharmacist services in Virginia: A qualitative study using the Consolidated Framework for Implementation Research.

Because of the strong request for data exchange under information environment, the existing information needs to be integrated and shared. And, the popularity of software-as-aservice (SaaS) caused that users need data integration. Traditional approach of data integration cannot accord with the complex information environment and cannot provide SaaS users with efficient data exchange and application integration. The paper proposes data integration as a service for Applications Deployment on the SaaS Platform that can hide heterogeneous data. It highlights the user's capability of accessing data. Compared with the traditional approach of data integration, it has many characteristics, such as expansibility, load balancing. It makes real-time data exchange and application integration possible. It improves the development of information resources and the integration of work flow.

INTEGRATION OF WORKFLOW AND RPA TECHNOLOGIES IN HEALTHCARE CLAIMS PROCESSING: A SYSTEMATIC ANALYSIS OF EFFICIENCY AND ERROR REDUCTION

OBJECTIVE. The purposes of this article are to describe implementation of an abbreviated brain MRI protocol for use in children with primary headache and to present an experience with the adaptation of the protocol in practice, work flow integration, and effects on sedation use. CONCLUSION. The abbreviated brain MRI protocol reduced the need for sedation for 74% of the study sample. Use of this protocol in this particular patient population continues, but further validation is required before its use is expanded to other pediatric populations.

Discrete technology solutions, such as real time data acquisition, distributed temperature sensing, etc. applied on selected-well basis seem to serve field development engineers well sometimes. Nevertheless, for engineers continually to improve field-wide operations and attain the cost and production advantages necessary to stay competitive in an industry shifting to cost-effective applications, integrating workflows is a strategic imperative. Engineers will need to concentrate and excel not just on specific technologies but on holistic rigless operations success driven by more attention to integration than individual technology solutions. The challenge facing asset teams remains how to execute comprehensive plans to make significantly higher returns from capital technology spending in the field. The scope of this paper is to present how engineers have adopted technology integration and alignment of numerous technology solutions for the specific situation of successfully developing and managing a giant oil carbonate field in readiness for a major production milestone. The approach presented entails an all-inclusive project-based method that involves performance reviews, elimination or reduction of idle times through close monitoring of incremental project stages, optimizing operational efficiency through increasing the speed of material delivery to the well sites, and improvement of logistics of people and equipment. The approach involves unifying role-based, process-based, and production workflows throughout the operation and building on a learning curve with each successive rigless operation. From the safe job execution of over 100 rigless activities, a model or scorecard is available to control important variables, assess the effectiveness of specific technologies, and provide support for leading or lagging indicators. As a result of seamless and routine inclusion of technology-based exercises at a project level, rigless activities have been completed over 60% faster than when the campaigns started nearly five years ago. Monetizing this value of technology integration in auditable and quantifiable terms translate to significant gains over the course of the rigless campaign. Through integration, engineers can implement effective programs for improvement in service levels and improve operations. Eventually these gains translate to fewer obstacles to project delivery. Introduction Technology is core and central to Manifa field development. Achievements in the Manifa field are testament that the field development team is savvy about applying fit for purpose technological solutions for lasting/sustainable gains. As a result of measurable improvements and integration of workflows between core technology applications, several world firsts have been credited to the Manifa team (Arukhe et al., 2014). Some of these records include the world's largest extended reach project (more than 75% if the field's wells are ERWs) and the use of the world's first tandem 2.125" CT tractor for ESP open hole completions (Arukhe, Duthie, Al-Ghamdi, Hanbzazah, Almarri, Sidle & Al-Khamees (2014). The first oil industry use of a specialized reusable filtration unit system in a long-term injection test, utilizing primary seawater filtration and chemical treatment was conducted in the field. A reflection of the project, upon successful commissioning of the first phase, reveals that the most critical success factor includes the degree of technology integration into the team's basic strategic approach to field development. The amount of solutions for rigless well interventions and well testing have multiplied considerably lately – from optimizing CT reach, well stimulation, multilateral access, and profiling to well testing. At present, these solutions deliver gains with possibility of influencing more efficient field development. As shown in this paper, technology adoption in CT reach and stimulation treatments results in gains from accelerated job execution and client satisfaction becomes evident. Consequently many wells have been successfully stimulated onshore and offshore.

Distributed embedded computing differs itself from traditional computing by its great heterogeneous, dynamic and non-standardized nature. This requires more powerful technologies that enable us to develop systems with more flexible architectures. Workflow technology achieves this by managing collaborations between system elements explicitly. However, in distributed embedded environment, current workflow systems could not be used directly for the reason of very different supporting platforms. Distributed resource management technology could bridge this gap. In this paper, we classify distributed embedded systems into fundamental types of elements representing both basic structural components and relationship between them. Then we present an architecture based on the integration of workflow and DRM systems according to our classification and analyze important coordination mechanisms among workflow, DRM systems and other elements. Ideas, such as utilizing function model to customize and optimize the design of systems, also reflect important principles to design distributed embedded systems.KeywordsEmbed SystemInteraction PatternSystem ElementDistribute File SystemCollaborative ElementThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Sharing research data and scholarship is of national importance because of the increased focus on maximizing return on the U.S. government's investment in research programs. Recent government policy changes have directly affected the management and accessibility of publically funded research. On January 18, 2011, the National Science Foundation, a U.S. agency that supports research and education in nonmedical fields, required that data management plans be submitted with all grant proposals. On February 22, 2013, the U.S. President's Office of Science and Technology Policy extended a similar requirement for all federal agencies with research and development budgets of more than $100 million. These requirements illustrate the need for further coordination and management of data as scholarship with traditional publications. Purdue University Libraries and its Joint Transportation Research Program (JTRP) collaborated to develop a comprehensive work flow that links technical report production with the management and publication of associated data. This paper illustrates early initiatives to integrate discrete data publications with traditional scholarly publications by leveraging new and existing repository platforms and services. The authors review government policies, past data-sharing practices, early pilot initiatives, and work flow integration between Purdue's data repository, the traditional press, and institutional repository. Through the adoption of these work flows, the authors propose best practices for integrating data publishing and dissemination into the research process. The implementation of this model has the potential to assist researchers in meeting the requirements of federal funding agencies, while reducing redundancy, ensuring integrity, expanding accessibility, and increasing the return on research investment.

Isolation of single, intact chromosomes from single, selected ovarian cancer cells for in situ hybridization and sequencing

We discuss an integrated work flow applied to multidisciplinary data acquired at two different scales. First, we performed an integrated geophysical experiment (on land) at relatively small scale. We performed a multidisciplinary survey along a line running on a lava flow outcrop. Our objective was to acquire a seismic and electromagnetic data set in correspondence of a basalt outcrop overlaying a well known sedimentary sequence. Using this data set we tested an integrated interpretation work flow based on modelling and inversion of complementary geophysical data. The objective was to verify if and how seismic and electromagnetic data can be combined for obtaining an improved imaging of the basalt and sub basalt sequences. Then we applied our integrated work flow to a multidisciplinary data set acquired in a much larger geological context in offshore Norway.

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 200206, “Lessons Learned From Recent Post-Fracturing Drawdown/Buildup Tests in Tight Sands Reservoirs,” by Ali Alshawaf, Mohammad Al Momen, SPE, and Ghaliah Khoja, SPE, Saudi Aramco, et al. The paper has not been peer reviewed. Developing tight sandstone reservoirs across a vast area requires proper data collection and analysis. Because of the nature and heterogeneity of these reservoirs, several vertical and horizontal wells must be drilled and completed with multistage hydraulic fractures to assess their potential. An integrated work flow was developed to build a single-well model to predict the production, cumulative gas, and recovery factor for each well. The paper presents findings and key lessons learned to efficiently design pressure-buildup (PBU) tests in tight sandstone reservoirs. Motivations and Challenges of Drawdown/Buildup Tests in Tight Sands Pressure-transient analysis (PTA) can provide direct and accurate measurement of fracture and reservoir properties, flow regimes, and possible boundaries or faults away from the wellbore within the radius of investigation in conventional reservoirs. In tight sand reservoirs, a wide range of technical measurements is required, such as routine core analysis, log interpretation, diagnostic fracture injection tests (DFIT), post-fracture history matching, vertical lift, and infow performance matching to integrate all gathered data to support the technical understanding of the reservoir.