bluuebunny/crossref_metadata_2025_split huggingface dataset:
4-D evolution of anticlines and implications for hydrocarbon exploration within the Zagros Fold-Thrust Belt, Kurdistan Region, Iraq
Authors: Zebari Mjahid M. , Burberry Caroline M. 
Published: October 2021

ABSTRACT
The Zagros Fold-Thrust Belt, extending from southern Iran, through northern Iraq and into Turkey, is characterized by elongate NW-trending anticlines that house large hydrocarbon accumulations. In recent years, the Kurdistan region of northern Iraq has become an area of interest for both structural studies and petroleum exploration-related investigation. Key questions to be answered concern the nature of the anticlines and whether the geometry of any associated thrusts can be predicted from surface geomorphology, as well the 4-D evolution of the area and along-strike continuity of the anticlines. To address these questions, this study combines field data, remote-sensing data concerning the structure and geomorphology of the anticlines, and structural modeling in order to produce robust interpretations of the geometries of the reverse fault structures that core the majority of these anticlines. Results indicate that this methodology can be used to constrain potential thrust configurations at depth and the probable style of fold amplification and lateral propagation. In addition, this study shows that the growth of the anticlines can be considered in 4-D, with consideration given to the interaction of the Zagros-age deformation with the pre-existing basement fabric. We demonstrate that combining both structural and geomorphological methodologies can lead to a better understanding of the geometry and evolution of the trap-forming structures in the Kurdistan region of Iraq and thus is expected to be of interest to the petroleum industry.
Spatio-temporal position of the Ediacaran Thalbah Basin in the Najd Fault System, Arabian Shield
Authors: Al-Husseini Richard 
Published: October 2021

ABSTRACTThis paper starts with a bibliographic review of the lithostratigraphy and radiometric dating of the Ediacaran Thalbah Group in the northwestern Arabian Shield, Saudi Arabia. It seeks to establish the spatio-temporal position of the group in the ongoing compilation and correlation of Ediacaran–Cambrian sedimentary time-rock units in the Middle East Geologic Time Scale (Al-Husseini, 2010, 2011, 2014). The group is defined and described in the Thalbah Basin, which crops out in the Al Wajh Quadrangle, and is approximately 100 km (NW-SE) by 40 km (SW-NE) in extent (Davies, 1985). The basin is situated within the approximately (ca.) 300 km-long, NW-trending Qazaz Fault Zone of the Najd Fault System.The Thalbah Group consists of three siliciclastic units: Hashim Formation (ca. 1,050–1,300 m thick) and likely coeval Zhufar Formation (ca. 600–1,400 m thick), and the younger Ridam Formation (ca. 1,000 m thick). Recently published U-Pb dating of detrital zircons gave ages of ≤ 596 ± 10 Ma for the Hashim Formation, and ≤ 612 ± 7 Ma for the Zhufar Formation (Bezenjani et al., 2014). The maximum depositional ages of the Hashim and Zhufar formations indicate they are approximately coeval to the lower part of the sedimentary and volcanic rocks of the Jibalah Group (≤ 605 ± 5 and ≥ 525 ± 5 Ma). The latter group was deposited in pull-apart basins along the ca. 600 km-long Rika and several other extensive fault zones of the NW-trending Najd Fault System in the northern and eastern parts of the Arabian Shield.The Qazaz Fault Zone left-laterally dislocated ophiolites of the NE-trending Yanbu Suture Zone (≥ 700 Ma) by about 100 km. The strike of the Qazaz Fault Zone projects into the Rika Fault Zone, along which five major pull-apart basins contain the Jibalah Group. The Rika Fault Zone dislocated by about 100 km the NS-trending ophiolite outcrop belts of the Ad Dafinah and Hulayfah fault zones (sometimes interpreted as parts the Nabitah Suture Zone, 680–640 Ma). Based on the time correlation of the Thalbah and Jibalah groups, and the highlighted structural features, the Rika and Qazaz fault zones are interpreted as a continuous 30 km-wide, 1,200 km-long, N63°W-striking fault zone, the “Rika-Qazaz Fault Zone”, which left-laterally dislocated the Arabian Shield by approximately 100 km after 605 ± 5 Ma and before 525 ± 5 Ma.
Dachstein-type Avroman Formation: An indicator of the Harsin Basin in Iraq
Authors: Sasvari Agoston , Davies Laura , Mann Andrew , Afzal Jawad , Vakarcs Gabor , Iwaniw Eugene 
Published: October 2021

ABSTRACTA field survey was carried out in 2012 focusing on the tectonic position and the role of Upper Triassic (Upper Norian–Rhaetian) Avroman Formation outcrops located in the Zalm area of Iraq, close to the Iraq-Iran border. At this location, the Cretaceous chert-bearing strata of the Qulqula Formation are overlain by sheared mafic bodies, which are in turn topped by the cliffs of the megalodontaceae-bearing Upper Triassic Avroman Formation. Similarities in lithology, sequence and tectonics position, suggest that the Triassic section of the Bisotoun Unit from the Kermanshah Zone of Iran can be used as a tectonic analogue of the Avroman Formation. According to our model, both the Avroman and the Bisotoun units formed an intra-oceanic carbonate platform, built-up by a characteristic megalodontaceae-bearing carbonate platform assemblage during the Late Triassic.The Harsin oceanic basin, which separated the Avroman-Bisotoun Platform from the Arabian Platform, was characterised by deep-marine sedimentation, the remnants of which form the Qulqula Formation in Iraq, and the Radiolaritic Nappe and the Harsin Mélange in the Kermanshah Zone. This tectonic setting is not unique; numerous authors suggest the existence of an oceanic rim basin, separating carbonate platform units (e.g. Oman ‘exotics’) from the Arabian Platform. The age of the deformation could be Late Cretaceous (Maastrichtian), but using analogues from Iran, a Palaeogene deformation also seems possible.The Avroman Formation was interpreted to be a Dachstein-type sediment, similar to the well-studied Dachstein Formation of the Northern Calcareous Alps, Austria. Rock units, with similar lithology, or identical depositional environment and macroscopic fauna, were described by numerous authors along the Neo-Tethys suture zone from Austria to Japan, and from several tectonic units along the Panthalassa margin. The implication of this correlation is important for future studies: using well-described type localities of the marine units from the Northern Calcareous Alps as a reference, it is possible to significantly extend the available background knowledge, and to gain better insight into the Triassic regional depositional environment of the Middle East.
Review: Freshwater and Soil Foraminifera – A Story of Long-Forgotten Relatives
Authors: Holzmann Maria , Gooday Andrew J. , Siemensma Ferry , Pawlowski Jan 
Published: October 2021

ABSTRACTForaminifera are a primarily marine taxon widespread in all oceanic habitats, from shallow, brackish-water settings to deep-seafloor and pelagic realms. Their diversity is remarkable with several thousand species described and a fossil record tracing back to the Cambrian. While foraminifera represent one of the best-studied groups of marine meiofauna, much less is known about their non-marine relatives. The first freshwater foraminifera were described in the 19th century by European and North American protozoologists, but interest in them lapsed during much of the 20th century and was not rekindled until the advent of molecular systematics provided a fresh impetus to their study. Several new species, genera, and families have been described recently based on morphological and molecular data derived from cultured specimens. In parallel, environmental genomic studies revealed that foraminifera are highly diverse and ubiquitous in freshwater and soil environments. Molecular phylogenetic analyses places non-marine foraminifera in a few clades among the large array of single-chambered (monothalamous) lineages, suggesting that several independent colonization events of freshwater and terrestrial habitats occurred. Non-marine foraminifera are turning from obscure curiosities to being recognized as an important part of soil and freshwater microbial communities, a major component of these complex environments.
Technology Focus: Reservoir Surveillance (September 2021)
Authors: Miller Patrick 
Published: October 2021

It is not unusual to compare a team of subsurface professionals to a team of detectives piecing together a sequence of events to solve a crime. To make sense of what is happening in a hydrocarbon reservoir, subsurface teams, like detectives, typically have incomplete, sparse data sets, sampled at different points in time and space. The data only provide a partial picture of what has happened and what is likely to happen in the future. In either case, surveillance is an essential tactic to build a mental model of the situation. Fortunately, both detectives and subsurface teams have growing surveillance toolboxes to help fill information gaps and narrow the range of possible scenarios.
In the oil and gas industry, an endless set of questions can be asked to characterize the state and history of a hydrocarbon reservoir. Teams need to understand the capability of the reservoir to store fluids, stresses acting on the reservoir, what fluids exist and how they interact with each other and the rock, and how fluids are moving (or are likely to move) through the reservoir. Information, however, is rarely free, and different surveillance tools provide varying qualities of information, so it is essential for subsurface professionals to choose wisely in terms of which problems to solve and which tools to pull out of the toolbox. Ultimately, we need to apply the right tools to the right problems to maximize the value of the information we gather.
In this feature, we will explore innovative approaches to help better understand the stress state of the reservoir, interactions between different fluids and rocks, and how to track the movement of specific fluid components throughout the reservoir. To do so, the authors of the papers highlighted in this month’s feature apply advanced log data analysis, experimental laboratory work, and compositional reservoir simulation, key tools that every subsurface team should have in its toolbox.
Recommended additional reading at OnePetro: www.onepetro.org.
SPE 201679 - A Fast Method To Estimate the Correlation Between Confining Stresses and Absolute Permeability of Propped Fractures by Faras Al Balushi, The Pennsylvania State University, et al.
SPE 202224 - Downhole Surveillance During the Well Lifetime Using Distributed Temperature Sensing by Ludovic Paul Ricard, CSIRO, et al.
SPE 201635 - Predicting Reservoir Fluid Properties From Advanced Mud Gas Data by Tao Yang, Equinor, et al.
Nanoparticles Aid Oil Recovery During Alternating Injection
Authors: Carpenter Chris 
Published: October 2021

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 201586, “Effect of Silica Nanoparticles on Oil Recovery During Alternating Injection With Low-Salinity Water and Surfactant Into Carbonate Reservoirs,” by Saheed Olawale Olayiwola, SPE, and Morteza Dejam, SPE, University of Wyoming, prepared for the 2020 SPE Annual Technical Conference and Exhibition, originally scheduled to be held in Denver, Colorado, 5–7 October. The paper has not been peer reviewed.
Although the potential of nanoparticles (NPs) to improve oil recovery is promising, their effect during alternating injection is still uncertain. The main objective of the authors’ study is to investigate the best recovery mechanisms during alternating injection of NPs, low-salinity water (LSW), and surfactant and transform the results into field-scale technology. The outcome of these experiments revealed that tertiary injection of NPs results in additional oil recovery beyond the limits of LSW.

Introduction
A series of coreflooding experiments was conducted using several cores with an effective permeability of approximately 1 md to the brine at a temperature and pressure of 70°C and 3,000 psi. The study performs four different alternating injections of NPs with LSW and surfactant to determine optimal oil recovery. The wettability of the rock and fluid and the interfacial tension (IFT) of oil and water are measured to understand the mechanisms of interactions between the fluids and the reservoir rock.

Materials
A 12×12×12-in. block taken from an outcrop of Indiana limestone reservoir was purchased for this study. Four core plugs with a diameter of 1.5 in., used for the coreflooding experiments, were selected from this block. A synthetic 100,000-ppm (10 wt%) brine was prepared in the laboratory by dissolving sodium chloride (NaCl) and calcium chloride with a ratio of 4:1 in deionized water. The crude oil used in this study was a volatile oil (properties are described in Table 2 of the complete paper) obtained from the Permian Basin in Texas.
Injected Fluids. A 10,000-ppm (1 wt%) LSW was prepared by diluting the synthetic brine 10 times. The surfactant solutions were prepared from an anionic sodium dodecyl sulfate (SDS) surfactant. A 1,000-ppm (0.1 wt%) surfactant solution used throughout the experiments was selected on the basis of the estimated critical micelle concentration of 600 to 2,240 ppm for SDS and nanofluid/NaCl. The concentration of silica NPs used in this study was 500 ppm (0.05 wt%). The nanofluids were pre-pared either as a simple solution or as a mixture with other chemicals to make a concentration of 500-ppm silica NPs.
Coreflooding System. The established coreflooding system used for this experimental study was custom-made to determine the oil recovery and the relative permeabilities at steady-state and unsteady-state flows. However, the focus of this study is to investigate the effect of silica NPs on oil recovery. The schematic diagram of the coreflooding system is shown in Fig. 1.
Detecting Sparse Microbial Association Signals Adaptively From Longitudinal Microbiome Data Based on Generalized Estimating Equations
Authors: Sun Han , Huang Xiaoyun , Huo Ban , Tan Yuting , He Tingting , Jiang Xingpeng 
Published: October 2021

Abstract
Background: The relationship between the compositions of microbial communities and various host phenotypes is an important research topic. Microbiome association research addresses multiple domains, such as human disease, diet and medicine. Statistical methods for testing microbiome-phenotype associations have been studied recently to determine their ability to assess longitudinal microbiome data. However, existing methods fail to detect sparse association signals in longitudinal microbiome data. Methods: In this paper, we developed a novel method, namely, aGEEMiHC, which is a data-driven adaptive microbiome higher criticism analysis based on generalized estimating equations, to detect sparse microbial association signals from longitudinal microbiome data. aGEEMiHC adopts a generalized estimating equations framework that fully considers the correlation among different observations from the same cluster (individuals) in longitudinal data, and it integrates multiple microbiome higher criticism analyses based on generalized estimating equations by setting different working correlation structures. Thus, the proposed method is robust to diverse correlation structures for longitudinal data.Results: The proposed method shows a stable performance for diverse association patterns in both sparsity levels and phylogenetic relevance. Extensive simulation experiments demonstrate that it can control the type I error correctly and achieve superior performance according to a statistical power comparison. In our simulation, we applied aGEEMiHC to longitudinal microbiome data with various types of host phenotypes to demonstrate the stability of our method. aGEEMiHC is also utilized for real longitudinal microbiome data, and we found a significant association between the gut microbiome and Crohn's disease. Conclusions: aGEEMiHC is a statistical method that facilitates association testing for sparse microbial association signals from longitudinal microbiome data, and it can be applied to situations in which the true underlying correlations among different observations from the same cluster in longitudinal data are unknown. It is worth noting that our method also ranks the significant factors associated with the host phenotype to provide potential biomarkers. The R package GEEMiHC is available at https://github.com/xpjiang-ccnu/GEEMiHC.
Modeling Forest Carbon Estimation Using Sentinel-2 Derived Indices in Yayu Afro-Montane Forest, South West Ethiopia
Authors: Muhe Seid , Argaw Mekuria 
Published: October 2021

Abstract
Background: Empirical analyses were common methods for forest carbon estimation. Lately, satellite images are popularly used to study different attributes of forest vegetation. Sentinel-2 image provides a significant improvement in spectral coverage, spatial resolution and temporal frequency to assess forest biomass. This study assessed the potential of vegetation indices and biophysical variables derived from Sentinel-2 images in modeling above ground biomass (AGB) and carbon stock in the Yayu forest biosphere reserve. Method: About twenty variables extracted from the Sentinel-2 image were used in this study. Forest stand parameters such as DBH and tree height were used to calculate AGB using allometric equations. The correlation between the biomass values measured from plots and the variables extracted from Sentinel-2 images were examined using the Pearson correlation coefficients. A regression analysis was applied to select determinant variables for predicting AGB. The regression model results were validated based on the coefficients of determination between the observed and the predicted values.Results: A strong correlation (r = 0.65 - 0.74) was found between the biophysical variables from Sentinel-2 image and AGB measured from sampling plots. The multispectral (MS) Band 4, the biophysical vegetation variables from Sentine-2 images were strongly correlated with the AGB. The variables MS Band 4, IRECI, LAI, FCOVER and FAPAR are good predictors of the forest AGB. The model goodness of fit between the observed and predicted values of the AGB showed a coefficient of determination (r2) value of 0.74 and root mean square error (RMSE) of 0.16 ton C/pixel. Conclusion: The developed AGB prediction model was applied to successfully quantify and map the AGB and carbon stock of the forest in the biosphere reserve. Vegetation indices from Sentinel-2 images can effectively predict AGB in forest landscapes and can avoid costly ground surveys to quantify AGB and carbon stock in difficult terrains.
Establishment and Fractionation of Metastatic Axillary Lymph Node Cell Suspension for Determination of Protein Expression Levels of Nuclear cFOS and Cytosolic TGFβ1 from Breast Cancer Patients
Authors: Ivanović Vesna , Dedović-Tanić Nasta , Milovanović Zorka , Stojiljković Bratislav , Demajo Miroslav , Mandušić Vesna 
Published: October 2021

Abstract
Background.

Metastatic Axillary Lymph Node (mALN) status is currently the most important prognostic factor in the management of primary breast cancer (BC). Thus, development of specimens which enable identification of new mALN markers, involved in the progression of the disease, are of considerable interest. The specific aim of this work was to describe the method of establishment of Metastatic Axillary Nodal Cell Suspension and its fractionation, termed Fractionated Nodal Cell Suspension (FNCS), into nuclear and cytosolic extracts to enable determination of protein expression levels of nuclear cFOS and cytosolic Transforming Growth Factor β1 (TGFβ1) in BC patients.
Results.

To standardize the procedure, HeLa cells were successfully fractionated into nuclear/cytosolic extracts with confirmed presence of nuclear cFOS and cytosolic TGFβ1 proteins. Subsequently, the ALN Cell Suspension specimens were obtained and further fractionated from a pilot sample of six ALN tissue pairs, mALN versus autologous normal ALN (nALN), dissected from invasive BC patients. The mALN results revealed statistically significant overexpression in nuclear cFOS and cytosolic TGFβ1 protein levels, which was proportional to the respective values of mALN diameter of tumor deposits.
Conclusions.

Detailed protocol for establishment and fractionation of mALN cell suspension specimens, termed FNCS, into nuclear and cytosolic extracts is here described for the first time. This approach might be a convenient ex vivo model for simultaneous analysis of protein, RNA and DNA biomarkers from nuclear/cytosolic extracts of the same mALN tissue sample. It might have potential to enable, in the age of genomics and personalized medicine, an identification of novel mALN biomarkers and thus improve the screening, diagnosis and prognosis of invasive BC.
Body Composition Assessment in Patients with Periampullary Neoplasma Undergoing Pancreaticoduodenetomy and its Predictive Value for Postoperative Complications
Authors: Cai Zhenghua , Xu Shanshan , Zhang Yifan , Yang Yifei , He Jian , Qiu Yudong 
Published: October 2021

Abstract
BackgroundTo observe body composition parameters variance in patient with periampullary neoplasmas with different clinical characteristics and assess its predictive value for postoperative complications after pancreaticoduodenectomy. MethodsIn this study, we retrospectively reviewed the clinical and image data of 144 patients with periampullary neoplasmas.The area of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT) and total abdominal muscle area (TAMA) were measured from preoperative CT images at the 3rd lumbar vertebra level, the TAMA was normalized to stature and termed as skeleton muscle index (SMI). The perioperative and pathological data were collected. ResultsOf the included 144 patients, 80(55.6%), 29(20.1%) and 24(16.7%) patients were classified as sarcopenia, visceral obesity and sarcopenic obesity. 84(58.3%) patients were jaundiced and 28 (19.4%)，50 (34.7%)，66(45.8%) patients were diagnosed with benign pancreatic tumors, pancreatic cancer and non-pancreatic cancer respectively. The incidence rate of clinical postoperative pancreatic fistula(POPF) and other major complications were 38.2% and 16%.In the univariate analysis, jaundiced patients experienced more weight loss and had higher nutrition risk score, the TAMA[103.1(61.1-176.7) vs 111.8(74.1-198.2),P=0.021] and SMI(39.2±7.0 vs 42.6±9.1,P=0.012)were lower compared with non-jaundiced group. However, no significant difference were founded between different pathological results and it was not associated with occurrence of POPF and major complications.ConclusionJaundiced patients may experience more weight loss and have lower TAMA and SMI. Body morphometric analysis of preoperative CT did not show predictive value for postoperative complications and further multicenter studies are needed.Trail registrationRegistration number：2021-437-01.