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Day 2 Tue, January 14, 2020最新文献

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Wheat straw as an alternative pulp fiber 麦秸作为替代纸浆纤维
Pub Date : 2020-02-01 DOI: 10.32964/tj19.1.41
P. Hart
The desire to market sustainable packaging materials has led to an interest in the use of various fiber types as a raw material. It has been suggested that the use of annual crops for partial replacement of wood fiber would result in more sustainable products. Several life cycle analyses (LCA) have been performed to evaluate these claims. These LCAs provided conflicting and contradictory results because of the local conditions and the spe-cific pulping processes investigated. Selected LCAs are reviewed and the underlying reasons for these conflicting results are analyzed. Of all the agriculturally sourced annual fibers available, other than wood, only straw pulp is currently available in commercial quantities. A careful review of the available data suggests that neither an annual crop nor wood are more sustainable in general. Countries that allow burning of straw after harvest present a unique situation. Each situation needs specific and direct comparisons that are not generally available. The use of straw fiber in place of wood fiber does not appear to present any advantages to either the environmental impact of production or to the final product quality. The impact of substitution of straw fiber for hardwood pulp in bleached board applications and for high yield pine in linerboard applications has been examined in handsheet studies. In general, the partial substitution of straw pulp for wood pulp does not improve the handsheet physical properties. These studies suggest that straw pulp should be used in low fiber strength requirement applications, such as tissue and molded fiber products. Commercial progress of straw pulping by Kimberly-Clark and Essity in low fiber strength requirement applications is a sign that the nonwood fiber opportunity has growth potential.
市场对可持续包装材料的渴望导致了对使用各种纤维类型作为原材料的兴趣。有人建议,使用一年生作物部分替代木材纤维将产生更可持续的产品。已经进行了一些生命周期分析(LCA)来评估这些主张。由于当地条件和所研究的特定制浆过程,这些LCAs提供了相互矛盾的结果。本文回顾了选定的lca,并分析了这些冲突结果的潜在原因。除木材外,在所有可获得的农业来源的年度纤维中,目前只有草浆具有商业数量。对现有数据的仔细审查表明,一般来说,一年生作物和木材都不是更可持续的。允许在收获后焚烧秸秆的国家呈现出一种独特的情况。每种情况都需要具体而直接的比较,而这种比较通常是无法获得的。用稻草纤维代替木纤维似乎对生产的环境影响或最终产品质量都没有任何好处。用稻草纤维代替硬木纸浆用于漂白纸板和用高产松木代替衬里纸板的影响已经在手抄研究中进行了研究。一般来说,部分用草浆代替木浆并不能改善手板的物理性能。这些研究表明,草浆应用于低纤维强度要求的应用,如组织和模塑纤维产品。金佰利公司和Essity公司在低纤维强度要求应用中稻草制浆的商业化进展表明,非木材纤维的机会具有增长潜力。
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引用次数: 7
A new approach for the preparation of cellulose nanocrystals from bamboo pulp through extremely low acid hydrolysis 竹浆极低酸水解制备纳米纤维素的新方法
Pub Date : 2020-02-01 DOI: 10.32964/tj19.1.21
Yongqi Zhang, Yongjian Xu, Xiaopeng Yue, Lei Dai, Minlan Gao, Yun Zhi
As a renewable and biodegradable nanomaterial, cellulose nanocrystal (CNC) has a wide range of potential applications, but production of CNC faces significant challenges in capital investment and manufacturing cost. In this work, the one-step preparation of CNC from bleached kraft bamboo pulp by extremely low acid (concentration of acid ≤ 0.1 wt%) hydrolysis was demonstrated. The experimental data indicated that the yield of CNC was strongly affected by the operating pressure and concentration of hydrochloric acid (HCl), as well as temperature. Rod-like CNC with a mean particle size of 524 nm was obtained through an extremely low acid (ELA) hydrolysis process. The yield of CNC can reach to 37.1% by an ELA hydrolysis process at 180°C for 60 min with 0.08 wt% HCl and 20 MPa operating pressure. The Fourier transform-infrared spectroscopy (FTIR) measurements show that the as-pre-pared CNC maintained cellulose structure. Compared with a conventional CNC prepared by strong sulfuric acid (H2SO4) hydrolysis, the CNC prepared by ELA hydrolysis process exhibited much higher thermal stability.
纤维素纳米晶体(CNC)是一种可再生、可生物降解的纳米材料,具有广泛的潜在应用前景,但其生产在资金投入和制造成本方面面临重大挑战。本文研究了用极低酸(酸浓度≤0.1 wt%)水解漂白硫酸盐竹浆一步法制备CNC的工艺。实验数据表明,操作压力、盐酸浓度以及温度对CNC的产率影响较大。通过极低酸(ELA)水解工艺获得了平均粒径为524 nm的棒状CNC。以0.08 wt% HCl、20 MPa操作压力、180℃、60 min的ELA水解工艺,CNC得率可达37.1%。傅里叶变换红外光谱(FTIR)测量表明,制备的CNC保持纤维素结构。与传统强硫酸(H2SO4)水解法制备的CNC相比,ELA水解法制备的CNC具有更高的热稳定性。
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引用次数: 3
Root cause analysis of cationic polymer additive efficiency decline in virgin and recycle containerboard mills 原厂和回收厂阳离子聚合物添加剂效率下降的根本原因分析
Pub Date : 2020-02-01 DOI: 10.32964/tj19.1.31
Davit E. Sharoyan, Cory Ross
It is well known that retention, drainage and strength polymers struggle to perform (if at all) in virgin containerboard mills. In-depth studies have been undertaken in this area for more than seven years, investigating the issue from all directions. A key finding of this work is that soluble lignin is detrimental to chemical efficiency. A strong correlation exists between decreased chemical efficiency and high soluble lignin. Both recycled systems and virgin systems have been studied, and this correlation holds true regardless of furnish. The primary area of concern is virgin container-board, because these mills tend to have the highest lignin levels. Some highly closed recycled mills can also build elevated lignin levels that can negatively affect chemical efficiency.
众所周知,保留,排水和强度聚合物很难执行(如果有的话)在原始纸板厂。这方面的深入研究已经进行了七年多,从各个方面调查了这个问题。这项工作的一个关键发现是可溶性木质素对化学效率有害。化学效率降低与高可溶性木质素之间存在很强的相关性。回收系统和原始系统都已被研究过,这种相关性无论原料是什么都成立。主要关注的领域是原始集装箱板,因为这些工厂往往有最高的木质素水平。一些高度封闭的回收工厂也会使木质素水平升高,从而对化学效率产生负面影响。
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引用次数: 0
Effects of different ammonium lignosulfonate contents on the crystallization, rheological behaviors, and thermal and mechanical properties of ethylene propylene diene monomer/polypropylene/ammonium lignosulfonate composites 不同木质素磺酸铵含量对乙丙二烯单体/聚丙烯/木质素磺酸铵复合材料结晶、流变行为、热力学性能的影响
Pub Date : 2020-02-01 DOI: 10.32964/tj19.1.9
R. Gou, Minghui Guo
Thermoplastic elastomer (TPE), made from ethylene propylene diene monomer (EPDM) and poly-propylene (PP) based on reactive blending, has an excellent processing performance and characteristics and a wide range of applications. However, there are currently no reports in the literature regarding the usage of TPE in making composite boards. In this paper, EPDM, PP, and ammonium lignosulfonate (AL) were used as the raw materials, poly-ethylene wax was used as the plasticizer, and a dicumyl peroxide vulcanization system with dynamic vulcanization was used to make a new kind of composite material. This research studied the influences of the AL contents on the crystallization behaviors, rheological properties, thermal properties, and mechanical properties of the composites. The results showed that the AL content had a noticeable impact on the performance of the composite board. Accordingly, this kind of composite material can be used as an elastomer material for the core layer of laminated flooring.
热塑性弹性体(TPE)是由乙丙二烯单体(EPDM)与聚丙烯(PP)反应共混而成,具有优良的加工性能和特点,应用范围广泛。然而,目前在文献中没有关于TPE在制作复合板中的使用的报道。本文以三元乙丙橡胶(EPDM)、聚丙烯(PP)和木质素磺酸铵(AL)为原料,以聚乙烯蜡为增塑剂,采用过氧化二氨基硫化体系进行动态硫化,制备了一种新型复合材料。研究了AL含量对复合材料结晶行为、流变性能、热性能和力学性能的影响。结果表明,AL含量对复合板的性能有明显的影响。因此,这种复合材料可以作为复合地板芯层的弹性体材料。
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引用次数: 0
Growth performance of Mission and Kyasuwa grasses (Pennisetum sp.) under different NPK ratios as potential slope cover 不同氮磷钾配比下黑土草和皇泽草作为潜在坡面覆盖的生长性能
Pub Date : 2020-01-20 DOI: 10.21475/ajcs.20.14.01.p2057
A. E. Ettbeb, Z. A. Rahman, W. Idris, J. Adam, Sahibin Abd. Rahim, T. Lihan, S. Tarmidzi, Nurul Atiqah Mohd Azlam
The Mission (Pennisetum polystachio) and Kyasuwa (Pennisetum pedicellatum) grasses are common perennial plants found in tropical regions that tolerates low nutrient soils, easily spread by wind and colonization of new areas. It is a great challenge for researchers to select plant species in terms of their performance for vegetation cover to minimize the sloppy soil erosion. Therefore, this study aimed to evaluate the growth performance of selected Pennisetum sp. namely P. pedicellatum (PPd) and P. polystachio (PPl) under different NPK ratio. The studied species were treated with three different treatments, F1, F2 and NF under greenhouse conditions. Hydroseeding technique was adopted for germination of the selected species in the polybags and periodically monitored for a duration of six months. Parameters measured for the growth performance of the studied species were based on plant height, total biomass and chlorophyll content. After application of the treatment F1 and F2, the soil pH changed to slightly acidic (pH 5.45) while organic content of soil was slightly increased from 3.2% to 3.9%. A similar result was also found in N and P nutrient availability of the soil. Meanwhile, available K decreased from 29.76 mg/kg to 28.41mg/kg (F1) and 23.83 mg/kg (F2) for PPl species. This trend was also observed by the PPd species. The PPd species with F1 and F2 treatments showed higher value of plant height if compared to that of PPl species. In terms of total biomass and chlorophyll content, PPl species treated with both treatments showed higher value than PPd species. Species treated with F1 showed higher value in all growth performance variables (height, dry biomass and chlorophyll content), if compared to that of F2 and NF treatments. These findings discovered Pennisetum polystatchion (PPl species) as a potential biological material that can be used as a slope vegetation cover.
Mission (Pennisetum polystachio)和Kyasuwa (Pennisetum pedicellatum)草是常见的多年生植物,生长在热带地区,耐低营养土壤,容易通过风传播和殖民新的地区。如何根据植物对植被覆盖的表现来选择植物物种,以减少土壤侵蚀,是研究人员面临的一个巨大挑战。因此,本研究旨在评价不同氮磷钾配比下狼尾草(penisetum sp.)即P. pedicellatum (PPd)和P. polystachio (PPl)的生长性能。在温室条件下,采用F1、F2和NF 3种不同处理。采用加氢播种技术对所选树种在塑料袋中萌发,定期监测6个月。以株高、总生物量和叶绿素含量为指标测定了所研究树种的生长性能。施用F1和F2处理后,土壤pH值变为微酸性(pH值为5.45),土壤有机质含量由3.2%略微增加到3.9%。土壤氮、磷养分有效性也有类似的结果。PPl种速效钾由29.76 mg/kg降至28.41mg/kg (F1)和23.83 mg/kg (F2)。这一趋势在PPd物种中也有体现。F1和F2处理PPd的株高值高于PPl。在总生物量和叶绿素含量方面,两种处理的PPl均高于PPd。与F2和NF处理相比,F1处理的植物在所有生长性能变量(高度、干生物量和叶绿素含量)上都表现出更高的值。这些发现发现了一种潜在的可以作为坡面植被覆盖物的生物材料。
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引用次数: 1
Induction of seed coat darkening in common beans (Phaseolus vulgaris L.) and the association with cooking time after storage 菜豆种皮变黑的诱导及其与储藏后蒸煮时间的关系
Pub Date : 2020-01-20 DOI: 10.21475/ajcs.20.14.01.p1500
R. C. Alvares, H. S. Pereira, L. C. Melo, P. Miklas, P. G. S. Melo
Carioca is the most important edible dry bean (Phaseolus vulgaris L.) grown in Brazil. It represents the largest dry bean market class in the world. The seed coat of carioca beans will darken under adverse harvest conditions and with the increasing of storage time. In general, darkened seeds are associated with older seeds that suffer from prolonged cooking times. A relatively new ‘slow darkening’ trait is available in carioca that delays seed coat darkening under storage. However, its effect on cooking time is unknown. The objective of this work was to evaluate two induction methods of seed coat darkening and to examine the effect of slow darkening trait on cooking time after storage. Lines derived from four segregating populations resulting from crossings between cultivar BRSMG Madrepérola with slow seed coat darkening, and the parents BRS Estilo, BRS Cometa, BRS Notável and BRS Sublime with normal darkening were evaluated. An experiment inlcuding 220 lines, 55 per population and the five parents, in a 15x15 triple lattice was conducted in the winter growing season in Brasilia. Seed coat darkening and cooking time traits were evaluated. Two methods for inducing seed coat darkening were compared: an accelerated aging test using UV light for 72 hours, and an extended storage for 90 days under ambient conditions. The correlation between the induction methods ranged from 0.77 to 0.85 for the different populations indicating either method could be used to discriminate lines with normal versus slow darkening trait. The percentage of light-colored grain lines was identified by both induction methods of seed coat darkening ranged from 75 to 85.7% in the populations. The genetic correlation between seed coat darkening and cooking time varied from -0.06 to -0.48, indicating that in some populations there is no significant genetic correlation between seed coat darkening and cooking time. Thus, light colored grains are not indicative of low cooking time, when they are considered genotypes with genetic variation for the seed coat darkening.
Carioca是巴西最重要的可食用干豆(Phaseolus vulgaris L.)。它代表了世界上最大的干豆市场类别。在不利的收获条件下,随着贮藏时间的延长,豇豆种皮会变暗。一般来说,深色的种子与经过长时间烹饪的老种子有关。一种相对较新的“缓慢变黑”特性在玉米籽粒中可用,可以延迟储存过程中种皮的变黑。然而,它对烹饪时间的影响尚不清楚。本研究的目的是评价两种诱导种皮变暗的方法,并考察慢变暗特性对贮藏后蒸煮时间的影响。对种皮变暗缓慢的BRSMG madrepsamroa品种与种皮变暗正常的亲本BRS Estilo、BRS Cometa、BRS Notável和BRS Sublime杂交而成的4个分离群体的品系进行了评价。在冬季生长季节,在巴西利亚进行了一项试验,包括220个品系,每个群体55个和5个亲本,在15 × 15的三重格子中进行。对种皮变黑和蒸煮时间性状进行了评价。比较了两种诱导种皮变黑的方法:紫外光加速老化72小时和常温延长贮藏90天。不同群体诱导方法的相关系数在0.77 ~ 0.85之间,表明两种诱导方法均可用于正常变黑性状和慢变黑性状的区分。两种诱导种皮变黑的方法所鉴定的浅色系在群体中所占比例为75% ~ 85.7%。种皮变暗与蒸煮时间的遗传相关在-0.06 ~ -0.48之间,说明在某些群体中,种皮变暗与蒸煮时间的遗传相关不显著。因此,当它们被认为具有种皮变黑遗传变异的基因型时,浅色谷物并不表明烹饪时间短。
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引用次数: 7
Root traits and carbon input by sweet sorghum genotypes differs in two climatic conditions 两种气候条件下甜高粱基因型的根系性状和碳输入量不同
Pub Date : 2020-01-20 DOI: 10.21475/ajcs.20.14.01.p1782
I. Ahmed, I. Ortaş, C. Yucel, A. Oktem, D. Yücel, M. Iqbal
Response of sweet sorghum [Sorghum bicolor (L.) Moench] root traits and carbon (C) input under two different climatic condition is not well understood. The aims of this study were to characterize and compare root biomass and root traits of several sweet sorghum genotypes at field condition and to estimate their C input to into soil. Roots and shoots were analyzed for C concentration and CO2 was calculated. Root samples were collected through monolith root sampling techniques. Root morphological characteristics like root surface area and root volume were differed between locations as well as locations × genotypes interactions. Root surface area varies from 423,800 to 887,800 m2 ha-1 in Mediterranean soil and 339,100 to 579,600 m2ha-1 for Harran soil. All sweet sorghum genotypes inputs root and shoot C as well as CO2 higher in Mediterranean than Harran soil. Root C input varies from 140 to 386 Mg ha-1 in Mediterranean soil and 112 to 224 Mg ha-1 for Harran soil. A greater diversity of root traits was found on several sweet sorghum genotypes irrespective to plant biomass C inputs into the soil. However, compared to several sweet sorghum genotypes, their lower C input to soil needs to be recognized to ensure a balanced C budget. This study concluded that several sweet sorghum genotypes can be a good source of soil C sequestration under different climatic conditions of Turkey.
甜高粱的响应[高粱双色(L.)]两种不同气候条件下Moench根系性状与碳(C)输入的关系尚不清楚。本研究的目的是在田间条件下对几种甜高粱基因型的根系生物量和根系性状进行表征和比较,并估算其对土壤的碳输入。分析根系和芽部的碳浓度,计算CO2浓度。根样品通过单块根取样技术采集。根表面积和根体积等根系形态特征在不同地点之间存在差异,不同地点与基因型之间的交互作用也存在差异。地中海土壤的根表面积从423,800到887,800 m2ha-1不等,哈兰土壤的根表面积从339,100到579,600 m2ha-1不等。所有甜高粱基因型在地中海土壤中输入的根、梢C和CO2均高于哈兰土壤。根C输入量在地中海土壤为140 ~ 386 Mg ha-1,在哈兰土壤为112 ~ 224 Mg ha-1。几种甜高粱基因型的根系性状差异较大,与植物生物量C输入量无关。然而,与几种甜高粱基因型相比,需要认识到它们对土壤的低碳输入,以确保平衡的碳预算。本研究认为,在土耳其不同的气候条件下,几种甜高粱基因型可以作为土壤固碳的良好来源。
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引用次数: 0
Predictive Maintenance & PHM in KSA Using MT EcoSystem 基于MT生态系统的KSA预测性维护与PHM
Pub Date : 2020-01-13 DOI: 10.2523/iptc-19662-ms
H. Srinivasan, Rajaram Madhavan
Technology Lifecycle Management (TLM) is an organization that was developed to bring Equipment Maintenance and Equipment Sustaining Engineering into a single umbrella to deliver Technology Assurance to Operations. This means to better manage and continuously improve the equipment in the field. In the Middle East Center for Reliability and Efficiency (MECRE) we aim every day to ensure that the equipment is maintained at the right level, defects are properly reported, repaired, investigated, work orders are rightly completed, and the team works efficiently and safely. In Well Services this vision was enabled by developing a customized mobile business system to maintain complex processes and tasks. This digital system is referred to as MTEcosystem (MT-Maintenance Tool). It can harness bigdata and process them smartly and efficiently. MTEcosystem captures all the information related to asset maintenance, reporting and real time equipment data. With this digital enablement, there is a need to rethink the equipment performance and monitoring to move from the traditional reactive or preventive maintenance to an evolving predictive maintenance.
技术生命周期管理(TLM)是一个将设备维护和设备维持工程整合在一起的组织,为运营提供技术保障。这意味着更好地管理和不断改进现场设备。在中东可靠性和效率中心(MECRE),我们每天的目标是确保设备保持在正确的水平,缺陷得到适当的报告,维修,调查,工作订单正确完成,团队高效安全地工作。在Well Services中,通过开发定制的移动业务系统来维护复杂的流程和任务,实现了这一愿景。这个数字系统被称为MTEcosystem (mt维护工具)。它可以利用大数据,并聪明有效地处理它们。MTEcosystem捕获与资产维护、报告和实时设备数据相关的所有信息。有了这种数字化支持,就需要重新考虑设备性能和监控,从传统的被动或预防性维护转变为不断发展的预测性维护。
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引用次数: 0
3D Confocal Imaging Methodology Optimized for Pore Space Characterization of Microporous Carbonate Reservoirs 微孔碳酸盐储层孔隙空间表征优化的三维共聚焦成像方法
Pub Date : 2020-01-13 DOI: 10.2523/iptc-19615-ms
A. Hassan, V. Chandra, M. Yutkin, T. Patzek
Microporous carbonates host a significant portion of the remaining oil-in-place in the giant carbonate reservoirs of the Middle East. Carbonates host wide range of pore sizes, however the key element influencing hydrocarbon flow is pore interconnectivity. We evaluate the use of confocal microscopy to image fluorescent epoxy pore casts of microporous carbonates. The acquired high-resolution 3D confocal images are used to gain invaluable insights on the interconnectivity between macroporosity and microporosity. We analyzed the sensitivity of quality of epoxy pore cast images to: fluorochrome selection, objective lens, and imaging medium by imaging standard fluorescent spherical beads. Guided by the sensitivity results, we acquired 3D images of the multi-modal pore space in an Indiana limestone sample with lateral- and axial-resolution of 0.36 µm and 2 µm, respectively. And we were able to identify the multi-scale pore types in the studied carbonate sample and highlight their interconnectivity.
在中东地区的巨型碳酸盐岩储层中,微孔碳酸盐岩占有相当大一部分的剩余油。碳酸盐岩储集孔径范围广,但影响油气流动的关键因素是孔隙连通性。我们评估使用共聚焦显微镜成像荧光环氧树脂微孔碳酸盐的孔铸件。获得的高分辨率3D共聚焦图像用于获得关于宏观孔隙和微观孔隙之间相互联系的宝贵见解。通过成像标准荧光球珠分析了环氧孔铸像质量对荧光染料选择、物镜和成像介质的敏感性。在灵敏度结果的指导下,我们获得了印第安纳石灰岩样品中多模态孔隙空间的三维图像,其横向和轴向分辨率分别为0.36µm和2µm。在研究的碳酸盐样品中,我们能够识别出多尺度孔隙类型,并突出了它们之间的连通性。
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引用次数: 0
Carbonate Lithology Identification with Generative Adversarial Networks 基于生成对抗网络的碳酸盐岩岩性识别
Pub Date : 2020-01-13 DOI: 10.2523/iptc-20226-abstract
Takashi Nanjo, S. Tanaka
Carbonate sedimentary rocks form the reservoir rocks of many oil and gas fields. The largest oil and gas fields in the world, such as the Ghawar field in Saudi Arabia and the Zakum field in Abu Dhabi, consist of carbonate reservoirs. Therefore, understanding the structure of carbonate sedimentary rocks is important to estimate the reservoir quality and distribution in the oil and gas field. However, carbonate sedimentary rocks have complex sedimentary structures that comprise various kinds of carbonate minerals. In addition, carbonate reservoirs often undergo diagenesis after deposition. Therefore, a detailed carbonate facies analysis requires great expertise. Additionally, traditional thin section analysis approaches such as the point counting method are extremely time intensive. In this context, machine learning, including deep learning, is attracting significant attention. In particular, image analysis using convolutional neural networks (CNNs) has seen dramatic development since the emergence of AlexNet in 2012. CNNs achieve superhuman image recognition capability by utilizing a deep layer structure that consists of a convolutional layer, activation function, etc. In the field of petroleum exploration and production, several studies on image analysis using CNNs have been performed by petroleum exploration and production companies and universities . Nanjo and Tanaka (in press) attempted carbonate lithology identification with pixel-wise segmentation in thin section images; the average accuracy of their category identification for each components [grain, cement, pore, and lime mud areas] was 83.9% and the automatic carbonate lithology identification based on the category identification was over 90%. They showed that machine learning is effective for carbonate lithology identification. However, the model is still not perfect with respect to both of category identification and automatic carbonate lithology identification. Generative Adversarial Networks (GAN) are unique and thought as useful tool to improve the model. GAN has already been studied in various fields (e.g., image generation and analysis). However, few studies have attempted to use GAN for carbonate lithology identification. In this study, the authors attempted to conduct carbonate lithology identification with a GAN and to review the potential of applying GAN for FMI imaging.
碳酸盐岩沉积岩是许多油气田的储集岩。世界上最大的油气田,如沙特阿拉伯的Ghawar油田和阿布扎比的Zakum油田,都是由碳酸盐岩储层组成的。因此,了解碳酸盐岩沉积岩的构造对评价油气田储层质量和分布具有重要意义。碳酸盐沉积岩具有复杂的沉积构造,由多种碳酸盐矿物组成。此外,碳酸盐岩储层在沉积后经常发生成岩作用。因此,详细的碳酸盐相分析需要很高的专业知识。此外,传统的薄片分析方法,如点计数法,是非常耗时的。在这种背景下,机器学习,包括深度学习,正在引起人们的极大关注。特别是,自2012年AlexNet出现以来,使用卷积神经网络(cnn)的图像分析得到了巨大的发展。cnn利用由卷积层、激活函数等组成的深层结构实现了超人的图像识别能力。在石油勘探和生产领域,石油勘探和生产公司和大学已经进行了一些利用cnn进行图像分析的研究。Nanjo和Tanaka(已出版)尝试用薄片图像的逐像素分割来识别碳酸盐岩岩性;各组分[颗粒区、水泥区、孔隙区、灰泥区]分类识别的平均准确率为83.9%,基于分类识别的碳酸盐岩岩性自动识别准确率在90%以上。他们表明,机器学习对于碳酸盐岩性识别是有效的。然而,该模型在类别识别和碳酸盐岩岩性自动识别方面还不完善。生成对抗网络(GAN)是一种独特的、被认为是改进模型的有用工具。GAN已经在各个领域得到了研究(例如,图像生成和分析)。然而,很少有研究尝试使用氮化镓进行碳酸盐岩岩性识别。在这项研究中,作者试图用氮化镓进行碳酸盐岩性识别,并回顾了氮化镓在FMI成像中的应用潜力。
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引用次数: 5
期刊
Day 2 Tue, January 14, 2020
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