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High-resolution sequence stratigraphic framework and target sand bodies correlation of tight oil reservoirs in the Upper Triassic Yanchang Formation, Ordos Basin 鄂尔多斯盆地上三叠统延长组致密油储层高分辨率层序地层格架与靶砂体对比
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.05.003
Xiulin Hou, Mingqiu Hou, Qingfu Feng, Yuxiang Xiao, Zhengdong Lei, Lingbin Lai, Siyang Li, Hongyu Tian
In this study, we developed a high-resolution stratigraphic framework for the Yanchang Formation in the Huachi Block of the Qingyang Oilfield, located in the Ordos Basin, northwest China. Using well log and seismic data, we traced and correlated sweet-spot sand bodies in tight oil reservoirs. Three long-term base-level cycles were identified in the Yanchang Formation, and five medium-term base-level cycles were delineated from the Chang 72 sub-Member to the Chang 4 + 5 Members, corresponding to five distinct oil groups. The primary production layer, Oil Group 3, was further divided into short-term and very short-term base-level cycles to facilitate the prediction of hydrocarbon target zones. Sweet-spot sand bodies were traced and correlated within very short-term cycles. The sweet-spot sand bodies are mainly sublacustrine channel deposits in the delta front, which were mainly developed in the five single layers (3-1-2, 3-1-3, 3-1-4, 3-2-2, 3-2-3 and 3-2-5) of the small layers 3-1 and 3-2 during the regression periods of base-level cycles. The sweet spot sand bodies within the small layer 3-2 are derived from three sets of sources in the northeast, northwest, and south of the basin. The Class I sweet spot is distributed within the single layer 3-2-5, with an average thickness of about 6 m, covering about 25% of the study area. The Class II sweet spot is developed in all five single layers, with the thickest and largest sweet-spot sand body in the Single layer 3-2-3, covering about 90% of the study area. This study highlights the critical importance of establishing a high-resolution sequence stratigraphic framework for the refined delineation of sweet-spot sand bodies within a deltaic-lacustrine depositional system. Additionally, sublacustrine fan deposits formed during the regressive semi-cycle were identified as key sweet spots in the study area.
本文对鄂尔多斯盆地庆阳油田华池区块延长组进行了高分辨率地层格架研究。利用测井和地震资料,对致密油储层甜点砂体进行了追踪和对比。在延长组圈定了3个长期基准面旋回,在长72亚段至长4 + 5段圈定了5个中期基准面旋回,对应5个不同的油群。为了便于油气目标层的预测,将初级生产层(油组3)进一步划分为短期和极短期基准面旋回。甜点砂体在非常短的周期内进行了追踪和对比。甜点砂体主要为三角洲前缘的湖底河道沉积,在基准面旋回期主要发育于3-1和3-2小层的3-1、3-1、3-1、3-2、3-2、3-2和3-2-5个单层。3-2小层内的甜点砂体来源于盆地东北部、西北部和南部的三组源。一类甜点分布在3-2-5单层内,平均厚度约6 m,约占研究区面积的25%。5个单层均发育ⅱ类甜点,其中单层甜点砂体3-2-3最厚、最大,约占研究面积的90%。该研究强调了建立高分辨率层序地层格架对于精细圈定三角洲-湖泊沉积体系中甜点砂体的重要性。此外,海退半旋回期间形成的湖底扇沉积是研究区关键的“甜点”。
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引用次数: 0
Starch nanoprecipitation with ethanol for the formulation of ultralow salinity formation water-tapioca starch nanoparticles potentially for enhanced oil recovery application 淀粉纳米沉淀法与乙醇制备超低矿化度地层水-木薯淀粉纳米颗粒,具有提高采收率的潜力
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.05.009
Suriatie Yusuf , Akhmal Sidek , Shaziera Omar , Sairoz Norazlan Sharbini , Hasanain Ali Al-Jaber
The present study evaluated commercial starch behavior and tapioca starch nanoparticles (TSNP) with 100 ppm ultralow salinity formation water as a potential alternative for enhanced oil recovery (EOR). Generally, starch exhibits excellent properties as a conventional viscosifier substitute in the petroleum industry. This study proposed a conventional polymer substitute, which is typically hydrolyzed polyacrylamide (HPAM) or oxide nanoparticles, for chemical flooding EOR employment. The TSNP was successfully synthesized via nanoprecipitation with ethanol as the precipitant medium. Two TSNP of different sizes, 1% and 3%, are successfully synthesized, which demonstrated chemical and physical attributes almost identical to raw tapioca starch (TS), corroborating their composition similarities. The 1% TSNP was significantly smaller compared to the 3% TSNP, but both samples possessed distinct angular, polygonal, and truncated shapes with sharp edges. Although the structure of the TSNP synthesized was a C-type crystal, their crystallinity was slightly lower. Fourier-transform infrared (FTIR) and energy dispersive X-ray (EDX) analyses confirmed similar chemical compositions of the raw TS and TSNP assessed. The EOR formulations employed in the study were prepared with various TS and TSNP concentrations, ranging from 0 ppm to 2000 ppm. The formulations were assessed at various temperatures between 25 °C and 75 °C. Rheological results indicated that TS and TSNP formulations coupled with low salinity formation water yielded non-Newtonian shear thickening behavior with respect to starch types, concentrations, temperatures, and shear rates. The 1% TSNP formulation exhibited favorable solution viscosifying criteria than the 3% TSNP sample within evaluated parameters. Surface tension, IFT, and wettability alteration measurements revealed indirect and inconclusive trend regarding TSNP concentrations and temperatures. Nonetheless, adding 1% and 3% TSNP considerably influenced IFT reduction and wettability alteration in several favorable combinations, indicating feasibility for EOR applications.
本研究评估了商用淀粉和木薯淀粉纳米颗粒(TSNP)在100 ppm超低矿化度地层水中的行为,作为提高采收率(EOR)的潜在替代方案。一般来说,淀粉在石油工业中作为常规增粘剂的替代品表现出优异的性能。本研究提出了一种传统的聚合物替代品,通常是水解聚丙烯酰胺(HPAM)或氧化物纳米颗粒,用于化学驱提高采收率。以乙醇为沉淀介质,采用纳米沉淀法成功合成了TSNP。成功合成了两个不同大小的TSNP,分别为1%和3%,其化学和物理性质与原料木薯淀粉(TS)几乎相同,证实了它们在成分上的相似性。1%的TSNP明显小于3%的TSNP,但两个样本都具有明显的棱角、多边形和截断形状,边缘锋利。虽然合成的TSNP结构为c型晶体,但结晶度略低。傅里叶变换红外(FTIR)和能量色散x射线(EDX)分析证实了原料TS和所评估的TSNP的化学成分相似。研究中使用的EOR配方采用不同的TS和TSNP浓度制备,范围从0 ppm到2000 ppm。在25°C和75°C之间的不同温度下对配方进行了评估。流变学结果表明,TS和TSNP配方与低矿化度地层水结合,在淀粉类型、浓度、温度和剪切速率方面产生了非牛顿剪切增稠行为。在评估参数范围内,1% TSNP配方比3% TSNP样品表现出更好的溶液增粘标准。表面张力、IFT和润湿性变化测量揭示了TSNP浓度和温度之间的间接和不确定的趋势。然而,添加1%和3%的TSNP显著影响了IFT降低和润湿性改变,这表明了EOR应用的可行性。
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引用次数: 0
Treatment of water disposal injection process by oilfield chemicals: Maintaining injectivity and environmental effects 油田化学品对水处理注入过程的处理:保持注入性和环境影响
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.04.007
Peyman Abbasi , Mohammad Madani , Shokoufah Abbasi
Oil production from hydrocarbon reservoirs is invariably accompanied by water production, which poses significant challenges to both production and injection systems, particularly due to the formation of mineral scales. While scale formation in production wells has been extensively studied, its impact on water disposal wells which is critical for managing produced water and ensuring environmental compliance, remains underexplored. This research gap is especially important because disposal wells face unique challenges, such as injectivity loss, environmental risks from wastewater release, and the need for sustainable scale management practices. This study addresses these challenges by investigating mineral scale formation in a water disposal well in southern Iran. Unlike previous research focused on production wells, this work emphasizes the unique operational and environmental implications of scale precipitation in disposal wells. For this purpose, field information including well schematic, disposal injection system data and acidizing jobs processes performed in well A is investigated. Analyzing and simulation of the composition of the water disposal sample resulted that maximum amount of scale precipitation in surface pipeline is equal to 92 mg/l owing to CaSO4 precipitation. Also, CaSO4 and CaCO3 are precipitated within near wellbore area. CaSO4 is the dominate scale type and maximum amount of this scale is 656 mg/l and CaCO3 is minor scale type with 54.42 mg/l in near wellbore condition. Furthermore, based on the injection pressure and injection rate data assessment in the time interval between two consecutive acidizing jobs, the formation of scales and the reduction of injectivity in well A are proved. Also, from operation point of view and according to ASTM-0374 method, scale inhibitor should be injected continuously at a concentration of 40 ppm from the surface to cover the entire injection system. The results show that scale inhibitor is an effective solution in prevention of scale precipitation, with 95.2% efficiency in scale formation inhibition. By focusing on disposal wells, this study provides novel insights into scale management strategies tailored to the unique requirements of water disposal operations. The findings highlight the effectiveness of chemical inhibitors in preventing scale formation and offer a sustainable alternative to conventional acidizing methods. This research contributes to advancing environmentally responsible practices in oilfield water disposal, addressing a critical gap in the field.
油气储层的采油总是伴随着水的产生,这给生产和注入系统带来了巨大的挑战,特别是由于矿物结垢的形成。虽然生产井中的结垢地层已经得到了广泛的研究,但其对污水处理井的影响仍未得到充分探讨,而污水处理井对于管理产出水和确保环境合规性至关重要。这一研究缺口尤为重要,因为处置井面临着独特的挑战,例如注入能力丧失、废水排放带来的环境风险,以及对可持续规模管理实践的需求。本研究通过调查伊朗南部的一口水处理井中的矿物垢地层来解决这些挑战。与以往的研究不同,该研究侧重于生产井,强调了处置井中结垢沉淀的独特操作和环境影响。为此,研究人员调查了A井的现场信息,包括井图、处置注入系统数据和酸化作业过程。对水处理样品组成进行分析和模拟,结果表明,由于CaSO4的沉淀,地表管道中最大水垢沉淀量为92 mg/l。CaSO4和CaCO3在近井筒区域也有析出。近井条件下,CaSO4为主要结垢类型,最大含量为656 mg/l; CaCO3为次要结垢类型,最大含量为54.42 mg/l。此外,根据连续两次酸化作业间隔时间内的注入压力和注入速率数据评价,证实了A井结垢的形成和注入能力的降低。此外,从操作的角度来看,根据ASTM-0374方法,阻垢剂应从表面以40 ppm的浓度连续注入,以覆盖整个注入系统。结果表明,阻垢剂是一种有效的阻垢剂,阻垢率达95.2%。通过关注污水处理井,本研究为针对水处理作业的独特要求量身定制的规模管理策略提供了新的见解。研究结果强调了化学抑制剂在防止结垢方面的有效性,并为传统酸化方法提供了一种可持续的替代方案。该研究有助于推进油田水处理的环境责任实践,解决了该领域的关键空白。
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引用次数: 0
Clay mineral content and their impact on reservoir quality: Insight into the carbonate reservoirs oil fields, Central-Eastern Russia 粘土矿物含量及其对储层质量的影响——以俄罗斯中东部碳酸盐岩油藏为例
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.04.003
Dmitriy A. Martyushev , Shadfar Davoodi , Anastasia D. Anickaeva , Zhao Zhi
Clay minerals are widespread in both sandstone and carbonate reservoirs. Previous studies have emphasized that clay minerals influence oil filtration in sandstones; however, very few studies to date have examined the influence of clay minerals in carbonates on oil production. To address this, scanning electron microscopy images, X-ray diffraction, nuclear magnetic resonance, and filtration experiments with low-salinity water flooding are used in this study to investigate the presence of clay minerals. Based on the XRD data, the mineralogy of cement in the carbonate reservoirs of the two fields (Perm Krai, Russia) is characterized by the presence of both non-clay minerals (quartz, feldspar, anhydrite, and halite) and clay minerals (illite/smectite, fibrous illite, and kaolinite). Illite/smectite flakes occur mainly as small platelets (<0.2 μm), which are distributed over the surface of the calcite crystals. However, individual illite/smectite flakes were identified, reaching 50 μm in width and ∼5 μm in thickness. The NMR results indicate a significant amount of clay-bound water is present in core samples containing illite/smectite flakes and isolated examples of fibrous illite. Kaolinite and fibrous illite readily disperse when interacting with low-salinity water, allowing clay particles to migrate into small pores after dispersion. The dispersion and migration of kaolinite and fibrous illite contribute to a significant decrease in permeability compared to rocks containing only illite/smectite. Thus, studying the mineralogy and chemical composition of clay minerals is an urgent task for hydrocarbon production from carbonate reservoirs. The presence of clay minerals must be determined when selecting process fluids during operations and water for injection in reservoir pressure maintenance systems.
粘土矿物广泛存在于砂岩和碳酸盐岩储层中。以往的研究强调粘土矿物影响砂岩中的油过滤;然而,迄今为止很少有研究考察碳酸盐中粘土矿物对石油生产的影响。为了解决这个问题,本研究使用扫描电子显微镜图像、x射线衍射、核磁共振和低盐度水驱过滤实验来研究粘土矿物的存在。根据XRD数据,两个油气田(俄罗斯Perm Krai)的碳酸盐岩储层中水泥的矿物学特征是既存在非粘土矿物(石英、长石、硬石膏和盐石),也存在粘土矿物(伊利石/蒙脱石、纤维伊利石和高岭石)。伊利石/蒙脱石薄片主要以0.2 μm的片状物形式出现,分布在方解石晶体表面。然而,发现了个别的伊利石/蒙脱石薄片,宽度达到50 μm,厚度达到~ 5 μm。核磁共振结果表明,在含有伊利石/蒙脱石薄片的岩心样品和分离的纤维伊利石样品中存在大量的粘土结合水。高岭石和纤维伊利石在与低盐度水相互作用时容易分散,使粘土颗粒在分散后迁移到小孔隙中。与只含伊利石/蒙脱石的岩石相比,高岭石和纤维伊利石的分散和迁移导致渗透率显著降低。因此,研究粘土矿物的矿物学和化学组成是碳酸盐岩储层开发油气的一项紧迫任务。在作业过程中选择工艺流体和油藏压力维持系统中的注入水时,必须确定粘土矿物的存在。
{"title":"Clay mineral content and their impact on reservoir quality: Insight into the carbonate reservoirs oil fields, Central-Eastern Russia","authors":"Dmitriy A. Martyushev ,&nbsp;Shadfar Davoodi ,&nbsp;Anastasia D. Anickaeva ,&nbsp;Zhao Zhi","doi":"10.1016/j.ptlrs.2025.04.003","DOIUrl":"10.1016/j.ptlrs.2025.04.003","url":null,"abstract":"<div><div>Clay minerals are widespread in both sandstone and carbonate reservoirs. Previous studies have emphasized that clay minerals influence oil filtration in sandstones; however, very few studies to date have examined the influence of clay minerals in carbonates on oil production. To address this, scanning electron microscopy images, X-ray diffraction, nuclear magnetic resonance, and filtration experiments with low-salinity water flooding are used in this study to investigate the presence of clay minerals. Based on the XRD data, the mineralogy of cement in the carbonate reservoirs of the two fields (Perm Krai, Russia) is characterized by the presence of both non-clay minerals (quartz, feldspar, anhydrite, and halite) and clay minerals (illite/smectite, fibrous illite, and kaolinite). Illite/smectite flakes occur mainly as small platelets (&lt;0.2 μm), which are distributed over the surface of the calcite crystals. However, individual illite/smectite flakes were identified, reaching 50 μm in width and ∼5 μm in thickness. The NMR results indicate a significant amount of clay-bound water is present in core samples containing illite/smectite flakes and isolated examples of fibrous illite. Kaolinite and fibrous illite readily disperse when interacting with low-salinity water, allowing clay particles to migrate into small pores after dispersion. The dispersion and migration of kaolinite and fibrous illite contribute to a significant decrease in permeability compared to rocks containing only illite/smectite. Thus, studying the mineralogy and chemical composition of clay minerals is an urgent task for hydrocarbon production from carbonate reservoirs. The presence of clay minerals must be determined when selecting process fluids during operations and water for injection in reservoir pressure maintenance systems.</div></div>","PeriodicalId":19756,"journal":{"name":"Petroleum Research","volume":"10 4","pages":"Pages 791-802"},"PeriodicalIF":4.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145760651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Numerical modeling validation of the sealability of bismuth alloy plugs 铋合金塞密封性的数值模拟验证
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.05.004
Marcelo Anunciação Jaculli, Lewaa Hmadeh, Sigbjørn Sangesland, Behzad Elahifar
Due to the high demand for plugging and abandonment (P&A) of wells, concerns have been raised regarding existing solutions in terms of their capability of long-term sealing - such as cement, which is the only qualified barrier material for downhole plugs. Therefore, alternative materials that can ensure better long-term sealability than cement are sought. Metal plugs have been actively researched and tested in the field, especially the ones made of bismuth alloys, due to their characteristics of impermeability and expansion upon solidification. This work focuses on the numerical modeling of bismuth-tin plugs for potential field applications. Bismuth is unique due to its expansion upon solidification, a beneficial characteristic that achieves better sealability. However, due to the low melting point of bismuth alloys, they can be susceptible to creep and aging effects if the plug is placed in high-temperature wells. In this work, the mechanical behavior of the eutectic bismuth-tin alloy is modeled using commercial finite element analysis software and then validate this model with available laboratory data. Such modeling includes expansion, creep, and aging effects of the alloy; expansion data is taken from manufacturers, while creep and aging use data found in the literature. The sealability is then checked by carrying out numerical push-out tests. The results obtained do not agree completely with laboratory data, especially at lower temperatures, highlighting the uncertainties in the input data used, especially on creep parameters. The conclusion from this validation procedure is that it is fundamental to acquire good input data for the model to match experimental results accurately. In particular, the creep parameters - for whichever fitting model is adopted - and the friction coefficient are the major sources of uncertainties, while being the main drivers of the sealability mechanism of metal plugs. This leads to a recommendation for thorough sample testing, under test conditions that replicate actual field conditions to obtain more accurate parameters. Further, this work contributes by providing a working numerical model that can be used to simulate different laboratory and field scenarios, thus assessing the sealing capabilities of any bismuth-based alloy.
由于对油井封堵和弃井(P&;A)的要求很高,人们对现有解决方案的长期密封能力提出了担忧,例如水泥,这是唯一合格的井下桥塞阻隔材料。因此,需要寻找比水泥具有更好的长期密封性的替代材料。金属塞,特别是由铋合金制成的塞,由于其具有不透水和凝固膨胀的特点,在该领域得到了积极的研究和试验。本文主要研究了势场应用中铋锡塞的数值模拟。铋是独一无二的,因为它在凝固时膨胀,这是一个有益的特性,可以实现更好的密封性。然而,由于铋合金的熔点较低,如果将桥塞放置在高温井中,它们可能容易受到蠕变和老化的影响。在这项工作中,使用商业有限元分析软件对共晶铋锡合金的力学行为进行了建模,然后用现有的实验室数据验证了该模型。这种建模包括合金的膨胀、蠕变和时效效应;膨胀数据来自制造商,而蠕变和老化使用数据在文献中找到。然后通过进行数值推出试验来检查密封性。所得结果与实验室数据不完全一致,特别是在较低温度下,突出了所使用的输入数据的不确定性,特别是蠕变参数。该验证过程得出的结论是,获得良好的输入数据是模型准确匹配实验结果的基础。特别是蠕变参数(无论采用哪种拟合模型)和摩擦系数是不确定性的主要来源,同时也是金属塞密封性机制的主要驱动因素。因此,建议在复制实际现场条件的测试条件下进行彻底的样品测试,以获得更准确的参数。此外,这项工作还提供了一个工作数值模型,可用于模拟不同的实验室和现场场景,从而评估任何铋基合金的密封能力。
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引用次数: 0
Potential cleaner and greener method for ultra-tight shale oil development without hydraulic fracturing: Experimental validation for CO2 and hydrocarbon gas injection 潜在的更清洁、更环保的超致密页岩油开发方法,无需水力压裂:二氧化碳和碳氢化合物气体注入的实验验证
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.05.007
Elena Mukhina , Timur Yunusov , Chengdong Yuan , Denis Bakulin , Artur Martirosov , Alexandra Ushakova , Renbao Zhao , Alexey Cheremisin
Currently, multistage hydraulic fracturing is the primary method for shale oil development. However, it has significant environmental drawbacks including large volumes of wastewater, greenhouse gas emissions, and toxic air pollutants, primarily due to high energy and water consumption as well as the use of chemical additives. In addition, the primary depletion method after multistage hydraulic fracturing can yield oil recovery factors of only a few percent. Therefore, there is an urgent need to develop cleaner and more sustainable methods for shale oil recovery. Currently, mainly some huff-and-puff enhanced oil recovery (EOR) methods without fracturing shale oil samples are being investigated. In this study, we managed to successfully investigate the feasibility of CO2 and hydrocarbon gas (HCG) injection as a cleaner and greener method for ultra-tight shale oil development without fracturing through core flooding experiments combined with X-ray scanning in a continuous injection mode. The results show that continuous CO2 and HCG gas injection yielded a maximum of 75% oil recovery without significant asphaltene precipitation or permeability reduction. A piston-like displacement front was observed during miscible HCG flooding. A two-stage displacement process was observed: the first stage is controlled by miscible gas displacement where pore filling is dominated by the occurrence of snap-off. The second stage is a diffusion-driven displacement where molecular diffusion plays a more important role with subsequent oil swelling and viscosity reduction after diffusive mixing. The findings not only prove the feasibility of gas injection (CO2 and HCG) for developing ultra-tight shale oil without fracturing but also contribute to enriching the theory of gas flooding mechanisms.
目前,多级水力压裂是页岩油开发的主要方法。然而,它有显著的环境缺陷,包括大量的废水、温室气体排放和有毒的空气污染物,主要是由于高能耗和水的消耗以及化学添加剂的使用。此外,多级水力压裂后的初级衰竭方法的采收率仅为几个百分点。因此,迫切需要开发更清洁、更可持续的页岩油开采方法。目前,主要研究的是一些无需压裂页岩油样品的吞吐式提高采收率(EOR)方法。在这项研究中,我们通过岩心驱油实验,结合连续注入模式下的x射线扫描,成功地研究了二氧化碳和碳氢气体(HCG)注入作为一种更清洁、更环保的超致密页岩油开发方法的可行性。结果表明,连续注入CO2和HCG气体,采收率最高可达75%,没有明显的沥青质沉淀或渗透率降低。在混相HCG驱油过程中观察到活塞状驱替锋。观察到两阶段的驱替过程:第一阶段受混相气体驱替控制,孔隙填充主要是发生断裂。第二阶段为扩散驱动驱替阶段,在此阶段中分子扩散的作用更为重要,扩散混合后的油溶胀和粘度降低。研究结果不仅证明了注气(CO2和HCG)开发非压裂超致密页岩油的可行性,而且有助于丰富气驱机理理论。
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引用次数: 0
Production forecasting in carbonate oil reservoirs through integration of deep learning and geological parameters 基于深度学习和地质参数的碳酸盐岩油藏产量预测
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.06.007
Jiuyu Zhao , Fuyong Wang
Deep learning has emerged as a groundbreaking proxy model for predicting well production, holding great promise for accelerating the advancement and management of the oil and gas industry. However, prior research on well production rate prediction often lacks the incorporation of geological models and comprehensive production data, resulting in limited transfer ability. This research introduces the application of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to forecast the production rate of new wells. By integrating multiple well production data, including factors such as time, choke size, pressure, temperature, water, and demulsifier injection volume, as well as geological parameters like permeability and porosity, the proposed models demonstrate the capability to accurately predict well production rates. Furthermore, the incorporation of one-hot encoding and convolution layers enhances prediction outcomes, leading to a significant 0.2 increase in the R2 value. The feasibility of utilizing adjacent multi-well data for predicting new well production rates is affirmed, with all models achieving R2 values exceeding 0.96 when employing encoded simulation data. Particularly, the integration of a CNN layer into the LSTM network showcases a significant improvement of 0.2 in the R2 value, based on actual oilfield data. These findings suggest that additional performance improvements can be realized through the implementation of data coding techniques and the integration of CNN layers into the model architecture.
深度学习已经成为一种突破性的预测油井产量的代理模型,在加速油气行业的发展和管理方面有着巨大的前景。然而,以往的油井产量预测研究往往缺乏地质模型和综合生产数据的结合,导致预测能力有限。本文介绍了卷积神经网络(CNN)和长短期记忆(LSTM)网络在新井产量预测中的应用。通过整合多口井的生产数据,包括时间、节流口尺寸、压力、温度、水量、破乳剂注入量等因素,以及渗透率和孔隙度等地质参数,所提出的模型证明了准确预测油井产量的能力。此外,单热编码层和卷积层的结合增强了预测结果,导致R2值显著增加0.2。确认了利用相邻多井数据预测新井产量的可行性,采用编码模拟数据时,所有模型的R2值均超过0.96。特别是,根据实际油田数据,将CNN层集成到LSTM网络中,R2值显着提高了0.2。这些发现表明,通过实施数据编码技术和将CNN层集成到模型架构中,可以实现额外的性能改进。
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引用次数: 0
Analysis of inter-well interference and well spacing optimization for horizontal wells in Gulong terrestrial pure shale oil 古龙陆相纯页岩油水平井井间干扰分析及井距优化
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.05.005
Lifeng Liu , Zhongbao Wu , Yuxiang Xiao , Zhenhua Xu , Huizhu Xiang
Gulong shale has abundant oil resources with low-porosity and low-permeability reservoir characteristics, and effective development has been achieved using horizontal well volume fracturing in single-well network deployment. Compared with tight oil, the terrestrial pure shale oil reservoir has more complex geological characteristics with developed shale joints and high clay content, which have a great impact on both hydraulic fracturing and production effects. Therefore, it is important for well spacing to be specifically designed for optimal single-well production and reservoir recovery rates. Taking the No. 1 Test Area of Gulong shale oil as an example, the inter-well interference intensity was evaluated by monitoring fracture construction pressure interference, tracer fugitive flow, and downhole microseismic phenomena at different well spacing. Using the unconventional reservoir production instability analysis method, the influence of well spacing on the length of effective fracture with proppant was examined, and the lower limit of 400 m well spacing was determined. Based on the geological and production evaluation parameters of the test area, a multi-well numerical model of the reservoir was established based on the differences in effective fracture length at different well spacing, and reasonable well spacing was demonstrated by considering the estimated ultimate recovery (EUR) of a single-well and block recovery rate. The simulation shows that the effect of well spacing on the development effect of Gulong terrestrial pure shale oil is different from that of tight oil and shale gas. By increasing the well spacing, the single-well EUR of shale oil increases significantly; the recovery first increases and then decreases, and the variation is small. Based on the current fracturing pattern and scale in the test area of Gulong shale oil, the well spacing of 300 m can be optimized to 500–550 m, the single-well EUR can be more than doubled, and the recovery can be increased by about 20%.
古龙页岩油气资源丰富,具有低孔低渗储层特征,采用水平井体积压裂单井网部署取得了有效开发效果。与致密油相比,陆相纯页岩油储层地质特征更为复杂,页岩节理发育,粘土含量高,对水力压裂和生产效果都有较大影响。因此,针对最佳单井产量和油藏采收率进行井距设计非常重要。以古龙页岩油1试区为例,通过监测不同井距下裂缝施工压力干扰、示踪剂失稳流动和井下微震现象,评价井间干扰强度。采用非常规油藏生产不稳定性分析方法,考察了井距对支撑剂有效裂缝长度的影响,确定了400 m井距的下限。以试验区地质和生产评价参数为基础,基于不同井距下有效裂缝长度的差异,建立了油藏多井数值模型,并综合考虑单井估计最终采收率EUR和区块采收率论证了合理井距。模拟结果表明,井距对古龙陆相纯页岩油开发效果的影响不同于致密油和页岩气。增加井距,页岩油单井EUR显著增加;采收率先增大后减小,且变化不大。根据古龙页岩油试验区现有压裂模式和规模,可将300 m井距优化至500 ~ 550 m,单井EUR可提高一倍以上,采收率可提高20%左右。
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引用次数: 0
Quantifying the effect of mineral compositions on the brittleness of shale using the finite element method 用有限元方法量化矿物组成对页岩脆性的影响
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.08.001
Yunfei Zhang , Yulong Yang , Dmitriy A. Martyushev , Zhaojie Song , Yufan Meng
The emergence of shale oil and gas has markedly boosted the global oil and gas storage and production growth, impacting the strategic energy patterns of numerous countries. However, exploring and exploiting shale reservoirs presents significant challenges, with production efficiency improvements largely reliant on hydraulic fracturing techniques. The mineral composition of shale and the brittleness index are critical parameters that influence the effectiveness of fracturing and production in shale reservoirs, but to date, no accurate calculation method that integrates the mineral composition and its mechanical properties for calculating the rock brittleness index. This study, based on modeling of shale SEM (Scanning Electron Microscope) images and finite element mechanical analysis, quantifies the impact of mineral compositions on the brittleness of shale. By fitting regression equations with different mineral compositions as variables, it classifies shales with different brittleness indexes and predicts the expansion patterns of fractures in shale reservoirs. The results show that each component distribution and anisotropy of shale rock has a minor effect on its brittleness index. The content of each component of shale has a greater effect on its mechanical properties, and the higher the brittle mineral content, the greater the brittleness index of shale, and also easier it is to form the complex fracture networks, which is beneficial to improve the production.
页岩油气的出现显著推动了全球油气储量和产量的增长,影响了许多国家的战略能源格局。然而,页岩储层的勘探和开发面临着巨大的挑战,生产效率的提高在很大程度上依赖于水力压裂技术。页岩矿物组成和脆性指数是影响页岩储层压裂生产效果的关键参数,但目前还没有将页岩矿物组成及其力学性质结合起来计算岩石脆性指数的精确计算方法。本研究基于页岩SEM(扫描电镜)图像建模和有限元力学分析,量化了矿物成分对页岩脆性的影响。通过拟合以不同矿物组成为变量的回归方程,对不同脆性指数的页岩进行分类,并预测页岩储层裂缝的扩展模式。结果表明,页岩各组分分布和各向异性对其脆性指数影响较小。页岩各组分含量对其力学性能的影响较大,脆性矿物含量越高,页岩脆性指数越大,也更容易形成复杂的裂缝网络,有利于提高产量。
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引用次数: 0
Rock typing and causality analysis in unconventional formation using Bayes nets 应用贝叶斯网络进行非常规地层岩石分型及因果分析
IF 4 Q1 Earth and Planetary Sciences Pub Date : 2025-12-01 DOI: 10.1016/j.ptlrs.2025.04.009
Evgeny Chekhonin , Alexander Nikitin , Dimitri Pissarenko , Yuri Popov , Raissa Romushkevich , Dzhulia Zagranovskaya
Unconventional formations are characterized by high heterogeneity and anisotropy, making it difficult to interpret logging data, perform core analysis, and create accurate petrophysical models. To address this challenge, a new methodology has been developed that uses Bayesian networks to perform rock-typing in unconventional reservoirs. The research combines, for the first time, logging data and thermal core profiling data to enhance classification accuracy based on Bayesian theory. The material used in this study is unique, encompassing extended logging and core data, a large number of full-size core samples, and various Bayesian networks. Constrained-based, score-based, and hybrid algorithms were applied to identify network structures. Comparing different Bayesian networks' performance was made possible by applying the methodology to rock-typing of 2923 full-size samples taken from three wells drilled in the central part of West Siberia through the Bazhenov Formation. Hybrid algorithms − K2-MPC and HC-MWST − gives the networks providing the most successful rock-typing (up to 84% of correctly classified samples). Naive Bayes' rock-typing quality is the worst, which indicates that the input data is not independent. Accounting for some thermal core profiling data improves (up to 6%) the quality of the rock-typing. Lessons we learned in obtaining an effective network structure are described. Bayesian networks and Random Forest provide similar rock typing results, but Bayesian networks give probabilities for samples belonging to each of the rock types studied and also allows specialists to grasp the causal relationships among input parameters. This research offers a new perspective for the analysis of unconventional reservoirs.
非常规地层具有高度非均质性和各向异性的特点,这给解释测井数据、进行岩心分析和建立准确的岩石物理模型带来了困难。为了应对这一挑战,研究人员开发了一种新的方法,即使用贝叶斯网络在非常规油藏中进行岩石分型。该研究首次将测井数据和热岩心剖面数据结合起来,提高了基于贝叶斯理论的分类精度。本研究中使用的材料是独特的,包括扩展的测井和岩心数据,大量的全尺寸岩心样本和各种贝叶斯网络。采用基于约束的、基于分数的和混合的算法来识别网络结构。通过将该方法应用于2923个全尺寸样品的岩石分型,比较不同贝叶斯网络的性能成为可能,这些样品取自西西伯利亚中部通过Bazhenov组钻探的三口井。混合算法- K2-MPC和HC-MWST -使网络提供最成功的岩石分型(高达84%的正确分类样本)。朴素贝叶斯的岩石分型质量最差,说明输入数据不是独立的。考虑到一些热岩心剖面数据可以提高岩石分型的质量(高达6%)。描述了我们在获得有效网络结构方面的经验教训。贝叶斯网络和随机森林提供了类似的岩石分类结果,但贝叶斯网络给出了属于所研究的每种岩石类型的样本的概率,并且还允许专家掌握输入参数之间的因果关系。该研究为非常规储层分析提供了新的思路。
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引用次数: 0
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Petroleum Research
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