Effect of CO_(2)flooding in an oil reservoir with strong bottom-water drive in the Tahe Oilfield,Tarim Basin,Northwest China

The dissolution and diffusion of CO_(2)in oil and water and its displacement mechanism were investigated by laboratory experiment and numerical simulation for Block 9 in the Tahe oilfield,a sandstone oil reservoir with strong bottom-water drive in Tarim Basin,Northwest China.Such parameters were analyzed as solubility ratio of CO_(2)in oil,gas and water,interfacial tension,in-situ oil viscosity distribution,remaining oil saturation distribution,and oil compositions.The results show that CO_(2)flooding could control water coning and increase oil production.In the early stage of the injection process,CO_(2)expanded vertically due to gravity differentiation,and extended laterally under the action of strong bottom water in the intermediate and late stages.The CO_(2)got enriched and extended at the oil-water interface,forming a high interfacial tension zone,which inhibited the coning of bottom water to some extent.A miscible region with low interfacial tension formed at the gas injection front,which reduced the in-situ oil viscosity by about 50%.The numerical simulation results show that enhanced oil recovery(EOR)is estimated at 5.72%and the oil exchange ratio of CO_(2)is 0.17 t/t.

Systematic improvement in Tong's B-type water drive method

Tong's B-type water drive method was proposed as early as the 1970s and has been widely applied in the dynamic prediction and effective evaluation of oilfield development.Through extensive applications and studies,many researchers found that the statistical constants in the formula of the Tong's B-type water drive method(also referred to as the Tong's B-type formula)are not applicable to multiple types of reservoirs,especially low-permeability ones,due to the limited range of reservoir types when the formula was conceived.Moreover,they put forward suggestions to improve the Tong's B-type formula,most of which focused on the research and calculation of the first constant in the formula.For oilfields in the development stages of high or ultra-high water cuts,it is widely accepted that different types of reservoirs have different limit water cuts.This understanding naturally makes it necessary to further modify the Tong's B-type formula.It is practically significant to establish the water drive formula and cross plot considering that the two constants in the formula vary with reservoir type.By analyzing the derivation process and conditions of the Tong's B-type formula,this study points out two key problems,i.e.,the two constants 7.5 and 1.69 in the formula are not applicable to all types of reservoir.Given this,this study establishes a function between key reservoir parameters and the first constant and another function between key reservoir parameters and recovery efficiency.Based on the established two functions and considering that different types of oil reservoir have different limit water cuts,this study develops an improved Tong's B-type formula and prepares the corresponding improved cross plot.The results of this study will improve the applicability and accuracy of Tong's B-type water drive method in predicting the trend of water cut increasing for different types of oil reservoirs.

Analysis of evaporation of high-salinity phreatic water at a burial depth of 0 m in an arid area

High-salinity phreatic water refers to which with total dissolved solids（TDS）>30 g/L. Previous studies have shown that high salinity phreatic water evaporation is different at different depths. High salinity phreatic water evaporation under 0 m depth is the basis of the high salinity phreatic water evaporation studies. In this study, evaporation of high-salinity phreatic water at a burial depth of 0 m in arid area was investigated. New insights were gained on evaporation mechanisms via experiments conducted on high-salinity phreatic water with TDS of 100 g/L at 0 m at the study site at Changji Groundwater Balance Experiment Site, Xinjiang Uygur Autonomous Region in China, where the lithology of the vadose（unsaturated zone） was silty clay. Comparison was made on the data of high-salinity phreatic water evaporation, water surface evaporation(EΦ20) and meteorological data obtained in two complete hydrological years from April 1, 2012 to March 31, 2014. The experiments demonstrated that when the lithology of the vadose zone is silty clay, the burial depth is 0 m and the TDS is 100 g/L, intra-annual variation of phreatic water evaporation is the opposite to the variation of atmospheric evaporation EΦ20 and air temperature. The salt crust formed by the evaporation of high-salinity phreatic water has a strong inhibitory effect on phreatic water evaporation. Large volumes of precipitation can reduce such an inhibitory effect. During freezing periods, surface snow cover can promote the evaporation of high-salinity phreatic water at 0 m; the thicker the snow cover, the more apparent this effect is.

Long-term operation optimization of circulating cooling water systems under fouling conditions

Fouling caused by excess metal ions in hard water can negatively impact the performance of the circulating cooling water system(CCWS)by depositing ions on the heat exchanger's surface.Currently,the operation optimization of CCWS often prioritizes short-term flow velocity optimization for minimizing power consumption,without considering fouling.However,low flow velocity promotes fouling.Therefore,it's crucial to balance fouling and energy/water conservation for optimal CCWS long-term operation.This study proposes a mixed-integer nonlinear programming(MINLP)model to achieve this goal.The model considers fouling in the pipeline,dynamic concentration cycle,and variable frequency drive to optimize the synergy between heat transfer,pressure drop,and fouling.By optimizing the concentration cycle of the CCWS,water conservation and fouling control can be achieved.The model can obtain the optimal operating parameters for different operation intervals,including the number of pumps,frequency,and valve local resistance coefficient.Sensitivity experiments on cycle and environmental temperature reveal that as the cycle increases,the marginal benefits of energy/water conservation decrease.In periods with minimal impact on fouling rate,energy/water conservation can be achieved by increasing the cycle while maintaining a low fouling rate.Overall,the proposed model has significant energy/water saving effects and can comprehensively optimize the CCWS through its incorporation of fouling and cycle optimization.

Activating solution gas drive as an extra oil production mechanism after carbonated water injection

Enhanced oil recovery(EOR)methods are mostly based on different phenomena taking place at the interfaces between fluid–fluid and rock–fluid phases.Over the last decade,carbonated water injection(CWI)has been considered as one of the multi-objective EOR techniques to store CO2 in the hydrocarbon bearing formations as well as improving oil recovery efficiency.During CWI process,as the reservoir pressure declines,the dissolved CO2 in the oil phase evolves and gas nucleation phenomenon would occur.As a result,it can lead to oil saturation restoration and subsequently,oil displacement due to the hysteresis effect.At this condition,CO2 would act as insitu dissolved gas into the oil phase,and play the role of an artificial solution gas drive(SGD).In this study,the effect of SGD as an extra oil recovery mechanism after secondary and tertiary CWI(SCWI-TCWI)modes has been experimentally investigated in carbonate rocks using coreflood tests.The depressurization tests resulted in more than 25%and 18%of original oil in place(OOIP)because of the SGD after SCWI and TCWI tests,respectively.From the ultimate enhanced oil recovery point of view,the efficiency of SGD was observed to be more than one-third of that of CWI itself.Furthermore,the pressure drop data revealed that the system pressure depends more on the oil production pattern than water production.

Spatio-temporal Changes in Water Conservation Ecosystem Service During 1990–2019 in the Tumen River Basin, Northeast China

The water conservation(WC) function of ecosystems is related to regional ecological security and the sustainable development of water resources, and the assessment of WC and its influencing factors is crucial for ecological and water resource management.The Tumen River Basin(TRB) is located in the core of the Northeast Asian ecological network and has been experiencing severe ecological crises and water shortages in recent years due to climate change and human activities. However, these crises have not been fully revealed to the extent that corresponding scientific measures are lacking. This study analyzed the spatial and temporal evolution characteristics and drivers of WC in the TRB from 1990 to 2019 based on the water yield module of the Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST) model. The results showed that: 1) under the combined effect of nature and socioeconomics, the WC depth of the TRB has slowly increased at a rate of 0.11 mm/yr in the past 30 years, with an average WC depth of 36.14 mm. 2) The main driving factor of the spatial variation in WC is precipitation, there is a significant interaction between precipitation and velocity, the interaction between each factor is higher than the contribution of a single factor, and the interactions between factors all have nonlinear enhancement and two-factor enhancement. 3) Among the seven counties and municipalities in the study area, the southern part of Helong City and the southeastern part of Longjing City are extremely important areas for WC(> 75 mm), and they should be regarded as regional water resources and ecological priority protection areas. It is foreseen that under extreme climate conditions in the future, the WC of the watershed is under great potential threat, and protection measures such as afforestation and forestation should begin immediately. Furthermore, the great interannual fluctuations in WC depth may place more stringent requirements on the choice of time scales in the ecosystem service assessment process.

Application of Empirical Method to Evaluate the Active OOIP and Other Recovery Fators for Water－drive Oilfields

In most literatures reservoir engineers usually claimed that oilfields are not identical to each other.To the author's experience on the type-curve matching work as mentioned above,it is not uncommon to find two fields exhibiting almost identical performances throughout their whole production life.In Fig.1,oil and water production figures of two well-known giant oilfields of former USSR-Romashkino(A)and Samotrol(B)are plo-tted together as Type-A curves with software“TWDTC".Surprisingly,nearly all the data points which covered 18-24 years of production history for both fields fell almost on one straight line.This implies that these two fields should have the same magnitude of active OOIP and in the same time,exercise similar waterflooding performance during their whole produciton life.

A Method for Calculating Oil Field Relative Permeability Curve by Using Water Drive Characteristic Curve in High Water Cut Stage

With the production of strong bottom water reservoir, it will soon enter the ultra-high water cut stage. After entering the ultra-high water cut period, the main means of stable production is liquid extraction. Large liquid volume has a certain impact on the physical property distribution and fluid seepage law of the oilfield. The relative permeability curve measured according to the industry standard is not used for the prediction of development indicators and the understanding of the dynamic law of the oilfield. In order to understand the characteristics of water drive law in high water cut stage of water drive oilfield, starting from the water drive characteristic curve in high water cut stage, the method for calculating the relative permeability curve is deduced. Through numerical simulation verification and fitting the actual production data, it is confirmed that the obtained relative permeability curve is in line with the reality of the oilfield, It can provide some guiding significance for understanding the production law and water drive law of strong bottom water reservoir in ultra-high water cut stage.

A NEW METHOD FOR IMPROVING WATER DRIVE RESULT AND LEASE TEST

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Driving forces and their interactions of soil erosion in soil and water conservation regionalization at the county scale with a high cultivation rate

Soil erosion control based on county scale Soil and Water Conservation Regionalization(SWCR)is an essential component of China's ecological civilization construction.In SWCR,the quantitative analysis of the spatial heterogeneity and driving factors of soil erosion among different regions is still lacking.It is of great significance for soil erosion control to deeply examine the factors contributing to soil erosion(natural,land use,and socioeconomic factors)and their interaction at the county and regional levels.This study focused on a highly cultivated area,Hechuan District of Chongqing in the Sichuan Basin.The district(with 30 townships)was divided into four soil and water conservation regions(Ⅰ-Ⅳ)using principal component and hierarchical cluster analysis.The driving factors of soil erosion were identified using the geographical detector model.The results showed thatⅰ)the high cultivation rate was a prominent factor of soil erosion,and the sloping farmland accounted for 78.4%of the soil erosion in the study area;ⅱ)land use factors demonstrated the highest explanatory power in soil erosion,and the average interaction of land use factors explained 60.1%of soil erosion in the study area;ⅲ)the interaction between natural factors,socioeconomic factors,and land use factors greatly contributes to regional soil erosion through nonlinear-enhancement of double-factor enhancement.This study highlights the importance of giving special attention to the effects of land use factors on soil erosion at the county scale,particularly in mountainous and hilly areas with extensive sloping farmland and a high cultivation rate.

水资源-能源-粮食-生态系统耦合协调及驱动力分析

为加深对我国水资源、能源、粮食、生态系统协同演变趋势的认识,构建水资源-能源-粮食-生态多维系统指标体系,运用耦合协调度模型对我国2005—2020年水资源-能源-粮食-生态系统耦合协调度进行评价,并采用多因素归因分析法进行驱动力分析。结果表明:我国水资源-能源-粮食-生态系统耦合协调度从2005年的0.55增长到2020年的0.84,各地区耦合协调度从勉强协调发展水平过渡到中级协调发展水平,各子系统对耦合协调度上升的驱动分别经历了由粮食子系统到生态子系统再到水资源子系统主导的过程;能源子系统的贡献率虽然比较小,但是未来可能是各地区提升水资源-能源-粮食-生态系统多维系统协调发展水平的突破口。

苏南水网地区水域景观破碎化时空演变特征及驱动因子研究——以吴江区为例

以苏州吴江区为对象,选取1990、2000、2010、2020年土地利用数据,利用Fragstats4.2对1990-2020年水域景观破碎化演化特征进行定量分析,并借助地理探测器模型探讨水域景观破碎化时空特征的驱动因子。结果表明:(1)从景观水平破碎化特征分析来看,研究期内吴江区水域景观破碎化程度先增大后减缓:1990-2000年水域景观受到人工建设干扰,空间分布离散;2000-2020年水域景观破碎化程度降低、整体空间格局趋向整合。从类型水平破碎化特征分析,河流、湖泊及内陆滩涂在1990-2000年破碎化程度日益加剧,斑块空间分布离散,2000-2020年水域斑块连接性逐渐增强;水库坑塘斑块类型分布在1990-2010年破碎程度降低,2010年后破碎化程度上升。(2)吴江区水域景观破碎化受到自然、社会等多元因素影响,各因子对水域景观破碎化时空分异的影响明显不同,且各驱动因子间存在显著交互增强效应,其中人类活动强度因子影响最为显著。研究结果可为探明水域景观破碎化形成机理提供思路,对苏南水网地区生态环境保护和可持续发展具有参考意义。

基于DPSIR模型的秦岭北麓陕西城市群水安全评估及驱动因子识别

水安全评估是水资源开发利用与区域发展的基础。为了加强秦岭北麓陕西城市群可持续建设,助力秦岭“中央水塔”绿色发展,基于DPSIR模型构建秦岭北麓陕西城市群水安全评估体系,结合主客观综合赋权法与模糊综合评价法对区域2011~2021年水安全进行评估分级,并利用灰色关联度法分析其水安全的驱动因子。结果表明:秦岭北麓陕西城市群2011~2021年水安全状态变化具有一致性,波动中稳步提升。西安市水安全等级相较宝鸡市、渭南市上升趋势显著,于2021年转为无警状态;宝鸡市一直保持低警状态,而渭南市长期处于中警状态。陕西城市群的水安全状态及发展趋势与人均GDP、年降水量、人均用水量等10个驱动因子密切相关,其中经济因子是水安全等级呈现一致性的根本保证,社会和生态因子则是造成水安全差异性的主要原因。

变化环境下河南省水资源情势与驱动力分析

为了解河南省水资源利用现状及趋势,为水资源管理部门提供参考,以应对变化环境下未来水资源供需所面临的挑战,基于河南省1999—2022年有关气象水文资料及水资源统计资料,采用统计分析、Mann-Kendall趋势检验及BP神经网络方法,对河南省水资源演变情势及其驱动力进行分析研究。结果表明:河南省降水量及水资源总量年际变化较大,整体不太稳定且丰枯水年交替频繁,供用水量呈现增长趋势但增速有所放缓;全省降水量、地下水资源量及水资源总量呈现不显著的减少趋势,地表水量及耗水量呈现不显著的增加趋势,供用水量呈现显著的增加趋势;降水量、年平均气温及下垫面的变化都是影响河南省水资源总量变化的重要因素。

基于CNN-OBIA的黄河源区水体提取及时空变化

准确识别水体信息是分析地表水时空动态变化的重要技术手段。针对目前各种长时序水体信息提取方法精度低的问题,基于Landsat遥感影像,选用1986~2022年5484景黄河源区遥感影像,分别运用卷积神经网络结合面向对象(CNN-OBIA)和多指数水体检测规则(MIWDR)两种方法提取了黄河源区的地表水体,并对两种方法的提取精度进行了对比分析。在此基础上,探究了1986~2022年黄河源区水体信息的时空变化特征,并对其主要气候因素进行相关分析。结果表明:①CNN-OBIA的总体精度和Kappa系数分别为96.78%和0.93,MIWDR的总体精度和Kappa系数分别为94.28%和0.88,总体而言,CNN-OBIA的提取精度高于MIWDR方法。CNN-OBIA的提取结果可以很好地保持水体边界完整性和有效去除山体阴影,可以较好地对细小河流进行提取。②研究区水体总面积呈现出先减少(1986~2001年)后增加(2001~2022年)的变化趋势。③相关性分析表明,降水和气温与水体面积的变化均表现出显著正相关。

采出水中核壳型荧光微球浓度的检测方法

聚合物微球调驱是改善水驱效果的主要技术之一。微球在地层中的运移以及能否在采出水中有效检出会直接影响调驱效果。因此,将荧光碳点引入微球调驱剂中,起到示踪的作用。荧光核壳微球调驱剂由含荧光碳点的核心微球溶液和壳层水溶液混合吸附而成。为了降低油水分离后采出水中的杂质对核壳荧光微球有效检出的干扰,首先对荧光微球的浓度与荧光强度进行线性拟合,验证该方法的可行性;然后用硅胶对地层采出水进行吸附,通过对比采出水吸附前后的荧光发射光谱,验证硅胶吸附的实用性;最后用硅胶对采出水配制的荧光微球进行吸附,绘制荧光强度和微球浓度的标准曲线。结果表明,在激发波长为347 nm的条件下,荧光微球的质量浓度与445 nm发射波长处的荧光强度具有良好的线性关系,相关判定系数(R^(2))为0.9870。经硅胶处理后,水驱采出水的荧光发射强度显著降低,硅胶吸附能有效去除采出水中的杂质。在激发波长为347 nm、荧光光谱仪狭缝为10~20 nm、微球质量浓度为1~1200 mg/L时,荧光核壳微球水分散液的质量浓度(x)与462 nm处的荧光发射峰值(y)呈正比线性关系,拟合方程为y=2497.1042+3.1847x,R^(2)为0.9972,置信度较高。荧光强度与核壳微球浓度的线性阶段可满足现场检测要求。该方法可为类似油藏荧光微球含量的定量检测提供借鉴。

黄河流域农业水资源生态韧性与用水效率耦合协调及驱动因素研究

韧性与效率是可持续发展的两个核心要素,统筹农业水资源生态韧性和用水效率协调发展,对于推动黄河流域生态治理和农业高质量发展具有重要现实意义。利用熵权-Topsis法、超效率SBM模型对黄河流域农业水资源生态韧性与用水效率进行测度,构建耦合协调度模型分析两者间的协调发展水平,借助核密度估计、ArcGIS图示法、Dagum基尼系数和空间自相关考察耦合协调度的时空演变格局及空间集聚效应,并运用地理探测器模型识别其驱动因素。结果表明:①时空演化上:2007-2021年全流域耦合协调度均值呈现先降后升的“U”形演化趋势,良好协调区呈现由点到片、由北至西南、由外围向内部蔓延的空间格局。②区域差异上:中游区域内差异扩大,上游和下游区域内差异缩小但两者区域间差异最大。③空间集聚上:偏向于随机分布且空间集聚较弱,未形成连片效应。④驱动因素上:自然灾害、研发投入与产业发展是协调发展度的主要影响因子。针对协调演化发展现状,提出“中心带动边缘”、“技术协同管理”、“政府结合市场”的一体化、系列化、多元化发展策略。

可持续发展目标6视角下黄河流域城市群水足迹时空演变及驱动因素

本研究以黄河流域5座国家级城市群为研究对象,探索性地采用水足迹及其相关评价指标构建面向可持续发展目标6的水资源利用水平评价框架。在描述2010―2019年城市群水足迹时空演变特征的基础上分别建立流域整体、上中游和下游城市群的空间计量模型,探讨驱动水足迹变化的因素。结果表明,城市群水足迹及相关指标均有所下降,自上游至下游呈梯级分布格局,上中游和下游城市群水足迹表现出两极分化的集聚状态,整体向“低−低”集聚跃迁。驱动因素在不同城市群之间存在着显著的差异性和空间交互效应。为此,提出强化中心城市辐射带动作用、提升城市群水资源生态系统韧性、根据不同城市群的比较优势实施差异性水资源系统治理等对策建议。

基于主要驱动因子筛选法和深度学习算法的浙江省动态需水量预测

收集了浙江省2000—2020年各用水行业需水量数据,采用基于Spearman秩相关分析的主要驱动因子筛选法筛选了影响各行业需水量的主要驱动因子,进而构造了改进的长短时记忆(LSTM)神经网络需水量预测模型,对各行业需水量进行动态滚动预测,并将改进LSTM模型的预测结果与传统单变量LSTM预测模型、卷积神经网络模型、支持向量回归模型的预测结果进行了对比。结果表明,基于主要驱动因子筛选法改进的LSTM模型能实时动态滚动预测各行业每年需水量,且预测结果精度高于其他3种模型。

同位素注入剖面测井解释智能化批量处理技术的实现与应用

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