Problem-Solving in a Pandemic: How the Creation of a New Workflow Improved the Quality and Timeliness of Remote Core Descriptions

2021 ◽  
Author(s):  
William Stephen Mills ◽  
Kate Al Tameemi ◽  
Grant Cole ◽  
Claire Gill ◽  
Lucy Manifold ◽  
...  

Abstract The COVID-19 pandemic limited global travel and access to core facilities. However, by adopting an innovative remote core description workflow, potential delays to an important reservoir characterisation study were avoided and mitigated. Over c.1700ft of middle Miocene core from an Onshore well in Abu Dhabi was described using high-resolution core photos, CT scans and CCA data. Detailed (1:20ft scale) descriptions of heterogeneous, mixed lithology sediments from a gas reservoir were produced. The aim when developing the workflow was not to try and replicate the process of in-person core description, but to create a workflow that could be executed remotely, whilst maintaining technical standards. Ideally, we wanted to find a solution that also had the potential to improve the overall quality of core description, by integrating more data from the onset. The workflow used a matrix to generate a confidence score for the description of each cored interval. Factors such as core condition were considered, which highly influences the extractable core information. The confidence score was used to make decisions, such as whether an in-person review of the core was necessary, especially where core condition was below a reasonable threshold. This helped prioritise cored intervals for review, ensuring time in the core store was focused, and allowed accuracy and reliability of the remote description to be assessed. The 4-phase workflow is summarised as: Image extraction of white light (WL), ultraviolet (UV) and computed tomography (CT) core images. Digital chart creation, core-to-log shifts and sample selection: Wireline data, CCA data and core images loaded Core images used to determine core-to-log shifts Thin section, SEM and XRD samples selected Remote core description: Conducted using all core imagery, CCA and wireline data Thin section, SEM and XRD data were used to refine the description when they became available A confidence score was given to each cored interval QC and finalization: Using the results from phase 3, a selection of cored intervals for in-person review was made. Intervals included those with a poor match between remote description and petrographic data, or areas with a low confidence score. Following the review, charts were finalised and quality-checked for data export Using this workflow, ensured work on an important study could continue during the pandemic. Such an approach has continued value for future studies as it increases efficiency and accounts for more data to be considered in core description prior to viewing the core in-person; it has been used on recent studies with great success. Another benefit to this approach is that less time in the core store is required, reducing potential HSE risks and helping to manage core store availability in busy facilities.

2021 ◽  
Author(s):  
Fatai Adesina Anifowose ◽  
Mokhles Mustafa Mezghani ◽  
Saeed Saad Shahrani

Abstract Reservoir rock textural properties such as grain size are typically estimated by direct visual observation of the physical texture of core samples. Grain size is one of the important inputs to petrophysical characterization, sedimentological facies classification, identification of depositional environments, and saturation models. A continuous log of grain size distribution over targeted reservoir sections is usually required for these applications. Core descriptions are typically not available over an entire targeted reservoir section. Physical core data may also be damaged during retrieval or due to plugging. Alternative methods proposed in literature are not sustainable due to their limitations in terms of input data requirements and inflexibility to apply them in environments with different geological settings. This paper presents the preliminary results of our investigation of a new methodology based on machine learning technology to complement and enhance the traditional core description and the alternative methods. We developed and optimized supervised machine learning models comprising K-nearest neighbor (KNN), support vector machines (SVM), and decision tree (DT) to indirectly estimate reservoir rock grain size for a new well or targeted reservoir sections from historical wireline logs and archival core descriptions. We used anonymized datasets consisting of nine wells from a clastic reservoir. Seven of the wells were used to train and optimize the models while the remaining two were reserved for validation. The grain size types range from clay to pebbles. The performance of the models confirmed the feasibility of this approach. The KNN, SVM, and DT models demonstrated the capability to estimate the grain size for the test wells by matching actual data with a minimum of 60% and close to 80% accuracy. This is an accomplishment taking into account the uncertainties inherent in the core analysis data. Further analysis of the results showed that the KNN model is the most accurate in performance compared to the other models. For future studies, we will explore more advanced classification algorithms and implement new class labeling strategies to improve the accuracy of this methodology. The attainment of this objective will further help to handle the complexity in the grain size estimation challenge and reduce the current turnaround time for core description.


Author(s):  
Olga R. Dietlin ◽  
Jeremy S. Loomis ◽  
Jenny Preffer

Genuineness, or authenticity, has long been established as the core attribute of excellent teachers. To reach their diverse learners, caring educators build genuine connections. Congruence has been described as the core condition for a meaningful learning and restorative growth, along with unconditional positive regard and empathetic understanding. While ample research has been generated on effectiveness in online education, few studies have focused on the notion and transferability of genuineness in the virtual classroom. This chapter presents a review of the interdisciplinary literature on authenticity, explores its link to diversity, and discusses the ways of cultivating authenticity online. It explores how faculty integrate the holistic self into course content, the virtual environment, and student interaction, and concludes with a review of best practices in course design and facilitation that convey authentic care for students online.


2019 ◽  
Vol 7 (1) ◽  
pp. B9-B32 ◽  
Author(s):  
Jacob M. Proctor ◽  
André W. Droxler ◽  
Naum Derzhi ◽  
Heath H. Hopson ◽  
Paul (Mitch) Harris ◽  
...  

We have developed and validated a new approach to upscale lithology and porosity-type fractions from thin sections to cores using dual energy and multiscale computed tomography (CT). A new rock-typing approach (genetic rock typing [GRT]) is proposed to upscale ⇋diagenetic mineral and diagenetic pore-type fractions, from thin sections to the core domain, eventually to create a diagenesis and porosity types logs. An extensive set of short cores from Mason County (Texas) provides a representative sample set of Late Cambrian microbial buildups and their interbuildup sediments to test the GRT approach. GRTs were defined by using a dolomite log as a proxy for diagenesis and the average percentage of dolomite from each observed depositional facies (buildup interior, buildup rind, and interbuildup sediment) as a cutoff. Dolomite, diagenetic calcite, and diagenetic porosity fractions are summed to form a diagenesis log, which captures depositional facies and the diagenetic overprint at a 0.5 mm resolution. The diagenesis log was subdivided based on the number of pore-throat size classes within each GRT and provided a framework to distribute porosity-type fractions from thin sections to log form. A high correlation coefficient is observed when the predicted extent of diagenetic alteration from the log is compared with that quantified for each thin section using image processing ([Formula: see text]). Multiscale CT imaging and dual-energy-derived logs could be directly linked to well-log photoelectric factor and bulk-density logs. This approach thus has the ability to span six orders of magnitude in resolution (500–0.0005 mm). The diagenesis log can be used to extrapolate porosity-type fractions from thin sections to logs, from which qualitative geologic interpretations can be generally translated into quantitative values.


2015 ◽  
pp. 33-38
Author(s):  
A. A. Shtyrliaeva

It is shown that using the structural-genetic analysis methods to the materials obtained during the core description and interpretation of well logging curves of the field Ety-Purovskoye enabled to construct paleogeographic plots reflecting the evolution of the conditions of productive strata J1 and J2 accumulation and to define the regularities of their structure associated with the sedimentation processes.


2021 ◽  
Vol 62 (08) ◽  
pp. 964-976
Author(s):  
V.A. Kazanenkov

Abstract —The paper presents results of regional paleogeographic reconstructions of the West Siberian sedimentary basin in the Late Bajocian–Bathonian. Regional paleogeographic maps of the Yu4, Yu3 and upper part of the Yu2 reservoir units were constructed and described for the first time ever. The implemented approach provided insights into the evolution of paleolandscapes and highlighted the deposition features of the Upper Tyumen Subformation and Malyshev Formation in the different parts of the West Siberian basin. The compilation of paleogeographic maps was based on the electrofacies analysis performed for individual parts of the Malyshev stratigraphic horizon, with regard to the core description materials, paleontological, sedimentological, geochemical data and other. The paleogeographic control of the reservoir’s formation in the Bathonian regional reservoir is discussed.


2021 ◽  
Author(s):  
Mehrdad Sardar Abadi ◽  
Christian Zeeden ◽  
Arne Ulfers ◽  
Katja Hesse ◽  
Thomas Wonik

<p>Lacustrine sediments are archives of past environmental conditions. In recent decades, multinational ICDP efforts have conducted lake drilling projects to encode the potential of paleoclimate signals. Gamma-ray spectroscopy is a particularly useful tool as it is non-destructive, fast, and affordable even in cased boreholes. Gamma radiation can be used to identify elemental isotopes in the geological record, which is used for stratigraphic correlation and paleoclimatic investigations. </p><p>However, some lake sediments contain tephra layers with specific gamma-ray signatures, presenting a challenge for extracting the primary signals caused by environmental and climatic agents. Here, we use the sediments of Lake Chalco in central Mexico to propose a protocol to identify tephra layers embedded in other sediments using high-resolution spectral gamma-ray spectroscopy. This facilitates dividing the overall sediment column into representative horizons of tephra and non-tephra.</p><p>Among the upper 300 m of the lake deposit, our index detected 363 tephra layers, while 388 total tephra layers (≥1 mm in thickness) were reported from the core description of the same borehole, predicting 92% of tephra layers documented in the lake deposits from core descriptions. We suggest that not only the strength of the gamma-ray signal but also the composition of its constituent energy channels can be used to detect embedded tephra layers.</p>


2017 ◽  
Vol 26 (2) ◽  
pp. 598-610 ◽  
Author(s):  
Zahra Rooddehghan ◽  
Zohreh ParsaYekta ◽  
Alireza N Nasrabadi

Background: Equity in providing care is also a major value in the nursing profession. Equitable care aims to provide the entire population with safe, efficient, reliable, and quality nursing services at all levels of health. Objectives: This study was conducted to explain the process of the realization of equity in nursing care. Research design: This qualitative study uses Glaser’s approach to grounded theory. Participants and research context: Sample selection began with convenience sampling and continued with purposive sampling. A total of 27 people were ultimately selected as the study subjects. Data were mainly collected through unstructured in-depth individual interviews plus observation and field notes. The data were then analyzed using the “Six C’s” coding family of Glaser. Ethical considerations: The study protocol was approved by the Tehran University of Medical Sciences (91D1302870). Written informed consent was also obtained from all subjects. Findings: According to the findings, participants’ main concern in providing equitable care is the rationing of nursing care. The identification of participants’ main concern led to the emergence of the core category of the study, that is, “nurses’ domination.” The other categories revolving around the core category were conceptualized according to the six C’s coding family: “nurses being dominated,” “nurses’ ineffective power in the health system,” “low attention to equitable care in health system,” “lack of clarity in measuring equitable care,” “the health structure’s inconsistency with equity,” and “the inefficiency of the care system.” Conclusion: There is a mutual relationship between providing fair care and nurses’ perceptions of equity. Nurses who have themselves experienced equity can provide their patients the experience of equity. This mutual relationship is actualized in a context in which fair care is clearly defined and demanded.


2013 ◽  
Vol 395-396 ◽  
pp. 455-458
Author(s):  
Yan Chun Liu ◽  
De Long Xu ◽  
Cheng Zhi Liu ◽  
Lu Qi Li ◽  
Jing Bo Pei

Based on a large number of core description, combined with indoor rock thin section analysis,cast thin-section pore character analysis ,microphotograph and scanning electron microscope observation, the diagenesis of the volcanic rock of Yingcheng formation in Yaoshen area were studied in detail. The results show that there are 5 kinds of diagenesis types in Yingcheng formation, among them, the dissolution, structure effect have a decisive influence on the formation of reservoir pore; reservoir space evolution has four stages in all, diagenesis has a great influence on reservoir space evolution.


2021 ◽  
Vol 336 ◽  
pp. 09014
Author(s):  
Xueyuan Wang ◽  
Meixia Sun

Based on Standard Literature Library of CNKI, opportunities for technical standards development are identified. The initial keywords of technical standard are determined based on LDA model, whose similar keywords are further confirmed by Word2Vec, and then combining LDA model with Word2Vec the representative keywords of technical standard of manufacturing industry are determined. According to confirmed representative keywords, the core technical standards of manufacturing industry are identified by using the center degree and “M-core” method. The dimensions of the frequency square matrix are reduced by using the PCA module of Python, and the scatter plot is brawn, the technology gaps are identified by combing the consideration on the core technical standards, and then the future development opportunities are confirmed based on the map of patent technology effect matrix.


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