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3-D SEISMIC IMAGING AND SEISMIC ATTRIBUTE ANALYSIS OF GENETIC SEQUENCES DEPOSITED IN LOW-ACCOMMODATION CONDITIONS

机译:低适应条件下沉积序列的3-D地震成像和地震属性分析

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A multidisciplinary team, composed of stratigraphers, petrophysicists, reservoir engineers, and geophysicists, studied a portion of Boonsville gas field in the Fort Worth Basin of North-Central Texas to determine how modern geophysical, geological, and engineering techniques could be combined to understand the mechanisms by which fluvio-deltaic depositional processes create reservoir compartmentalization in a low- to moderate-accommodation basin. An extensive database involving well logs; cores, production, and pressure data from 200-plus wells, 26-mi(2) (67 km(2)) of 3-D seismic data, vertical seismic profiles (VSPs), and checkshots was assembled to support this investigation. The reservoir system we studied was the Bend Conglomerate, a productive series of gas reservoirs composed of Middle Pennsylvanian fluvio-deltaic clastics 900 to 1300 ft (275 to 400 m) thick in our project area. We were particularly interested in this reservoir system because evidence suggested that many of the sequences in this stratigraphic interval were deposited in low-accommodation conditions (that is, in an environment where there was limited vertical space available for sediment accumulation), and our objective was to investigate how fluvio-deltaic reservoirs were compartmentalized by low-accommodation depositional processes. Using an extensive well log database (200 plus wells) and a core-calibrated calculation of rock facies derived from these logs, we divided the Bend Conglomerate interval into ten genetic sequences, with each sequence being approximately 100 ft (30 m) thick. We then used local VSP and checkshot control to transform log-measured depths of each sequence boundary to seismic two-way time coordinates and identified narrow seismic data windows encompassing each sequence across the 26-mi(2) (67 km(2)) 3-D seismic grid. A series of seismic attributes was calculated in these carefully defined data windows to determine which attributes were reliable indicators of the presence of productive reservoir facies and which attributes could, therefore, reveal distinct reservoir compartments and potentially show where in-field wells should be drilled to reach previously uncontacted gas reservoirs. Our best success was the seismic attribute correlations we found in the Upper and Lower Caddo sequences, at the top of the Bend Conglomerate. These sequences were deposited in a low-accommodation setting, relative to other Boonsville sequences, and we found that reflection amplitude and instantaneous frequency, respectively, were reliable indicators of the areal distribution of reservoir facies in these low-accommodation sequences. [References: 13]
机译:一个由地层学家,岩石物理学家,油藏工程师和地球物理学家组成的多学科团队研究了德克萨斯州中北部沃思堡盆地的Boonsville气田,以确定如何结合现代地球物理,地质和工程技术来理解河流三角洲沉积过程在中低适应盆地中形成储层分隔的机制。包含测井记录的广泛数据库;来自200多个井的岩心,生产和压力数据,3-D地震数据的26英里(2)(67 km(2)),垂直地震剖面(VSP)和抽查图被组合以支持此调查。我们研究的储层系统是本德砾岩,这是一个生产性系列的气藏,由我们项目区域内900至1300英尺(275至400 m)厚的宾夕法尼亚州中部氟三角洲碎屑岩组成。我们对这种储层系统特别感兴趣,因为有证据表明,该地层间隔中的许多层序都是在低适应性条件下沉积的(也就是说,在垂直空间有限的情况下才能沉积沉积物),我们的目标是研究如何通过低适应性沉积过程将潮汐-三角洲储层分隔开。使用广泛的测井数据库(200多个井)和根据这些测井得出的岩心进行岩心校准计算,我们将本德砾岩层段划分为十个遗传序列,每个序列约100英尺(30 m)厚。然后,我们使用局部VSP和checkshot控制将每个序列边界的测井深度转换为地震双向时间坐标,并确定了涵盖26-mi(2)(67 km(2))3上每个序列的狭窄地震数据窗口-D地震网格。在这些精心定义的数据窗口中计算了一系列地震属性,以确定哪些属性是生产性储层相存在的可靠指标,因此哪些属性可以揭示不同的储层隔层,并可能显示应在何处钻探野外油井到达以前未接触的储气罐。我们最大的成功是在本德集团公司的上部和下部Caddo层序中发现的地震属性相关性。相对于其他Boonsville序列,这些序列沉积在低适应性环境中,我们发现反射幅度和瞬时频率分别是这些低适应性序列中储层相分布的可靠指标。 [参考:13]

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