首页> 外文期刊>Journal of Energy Technologies and Policy >Estimation of Geothermal Gradient, Geothermal Heat Flux and Thermal Conductivity of Rocks in Western Niger Delta Using Well Log Data
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Estimation of Geothermal Gradient, Geothermal Heat Flux and Thermal Conductivity of Rocks in Western Niger Delta Using Well Log Data

机译:用井日志数据估算尼日尔三角洲岩石地热梯度,地热传热和热导率

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This study presents the result of the estimation of heat flow from six (6) wells (Well X:001 to 006) in South-Western Niger Delta using values of Geothermal gradient (GG), Geothermal heat flux (Q) and thermal conductivity (K) computed from Sonic and continuous temperature log data for each well. Geothermal gradient was computed from continuous temperature logs using the simple gradient method while geothermal heat flux and thermal conductivity of the rocks in the wells were computed from the sonic log data, using the Relative Heat Flow Model and Fourier One-dimensional Heat Flow Law respectively. The results were analysed and interpreted to investigate the thermal structure and pattern of heat flow distribution of the basin. Results showed that geothermal gradient ranges from 1.45 0 C/100m to a value of 1.61 0 C/100m, with a simple average of 1.55 0 C/100m. Geothermal gradient contour map computed from this result, showed a low thermal gradient at the northern part of the study area where we have Well X-006 and increases outwards in all direction as we move further offshore. These differences reflect changes in thermal conductivity of rocks, ground water movement and endothermic reaction during diagenesis, since geothermal gradient is influenced by lithology or differential rate of sedimentation. Therefore, it was inferred that sediments with a relatively high geothermal gradient (1.55 to 1.61 0 C/100m) will mature earlier (low oil window) than those with low thermal gradient values. By implication, a high geothermal gradient enhances the early formation of oil at relatively shallow burial depths, but causes the depth range of the oil window to be narrow, while low geothermal gradient causes the first formation of oil to begin at fairly deep subsurface levels, but makes the oil window broad. Geothermal heat flux estimated from subsurface temperature and one-way sound travel time, shows heat flux varying between 33.16 mWm -2 to 72.73 mWm -2 with a simple average of 48.43 mWm -2 . Low heat flux was observed at the central part of the study area which increases towards the western and eastern parts of the area with Well X-005 characterized by a higher geothermal heat flux. Therefore, it was inferred that the western and eastern parts of the study area with higher heat flux values may be characterized as zones with maximum sediment thickness and are characterized as having depressions (gravity low) on the geoid which is characteristics of a basin, while the central part of the study area with low heat flux values correspond with zones of minimum sediment thickness. Also, thermal conductivity of rocks in the study area computed directly from heat flux and geothermal gradient results, ranges from 2.28W/m 0 C to 4.76 W/m 0 C with an average of 3.19 W/m 0 C. Thermal conductivity contour map computed from this result, showed low thermal conductivity values observed at the central part of the study area, and increases outwards towards the west and eastern parts. This pattern of thermal conductivity variation suggests probably there exists heavy crude oil at the central part of the study area and lighter crude oil as we move outward in all direction. It was also observed that within each well, thermal conductivity increased with depth and decreased with porosity which may be caused by difference in lithology and fluid content, due to the fact that all pore fillers (i:e gases and liquids) are poor conductors. The estimated values of geothermal gradient, heat flux and thermal conductivity obtained in this study are similar to the results obtained from previous studies in the region and with other passive continental margins of the world.
机译:本研究介绍了在南南部尼日尔Δ中的六(6)孔(X:001至006)的热流估计的结果,使用地热梯度(GG),地热热通量(Q)和导热率( k)从每个孔的Sonic和连续温度日志数据计算。使用简单的梯度方法从连续温度测量计算地热梯度,而使用相对热流模型和傅里叶一维热流法,从Sonic Log数据计算孔中岩石的地热热通量和热导率。分析结果,并解释为研究盆地的热结构和热流分布图案。结果表明,地热梯度范围从1.45 0 C / 100m到1.61 0 C / 100m的值,平均值为1.55 0 C / 100m。从该结果计算的地热渐变轮廓图,在研究区域的北部显示出低热渐变,在那里我们有X-006的北部,随着我们进一步移动,在X-006上逐渐增加。这些差异反映了成岩作用期间岩石,地面水运动和吸热反应的导热率的变化,因为地热梯度受沉降岩性或差速率的影响。因此,推断,具有相对高的地热梯度(1.55至1.61 0 C / 100m)的沉积物将比具有低热梯度值的沉积物成熟(低油窗)。通过暗示,高地热梯度在相对较浅的埋藏深度下提高油的早期形成,但导致油窗的深度范围窄,而低地热梯度导致首先形成油,以相当深的地下水平开始。但使油窗宽阔。从地下温度和单向声音行驶时间估计的地热热通量,显示出在33.16 mwm -2至72.73mwm -2之间变化的热通量,平均值为48.43 mwm -2。在研究区域的中心部分观察到低热通量,其朝向X-005的井X-005的西部和东部增加,其特征在于较高的地热热通量。因此,推断出具有较高热通量值的研究区域的西部和东部的特征在于具有最大沉积物厚度的区域,其特征在于在大地带上具有凹陷(重力低),其是盆地的特性具有低热量磁通值的研究区域的中心部分对应于最小沉积物厚度的区域。此外,研究区域中的岩石的导热率直接从热通量和地热梯度结果计算,范围为2.28W / m 0 C至4.76W / m 0 C,平均为3.19W / m 0 C.导热率等高图从该结果计算,显示在研究区域的中心部分观察到的低导热率值,并向西部和东部部门增加。这种导热率变化的模式表明,在研究区域的中央部分,在所有方向向外移动时,可能存在较重的原油。还观察到,在每个孔内,由于所有孔隙填充物(I:E气体和液体)是导体差的事实,导热率随着深度和孔隙率而增加,导热率随深度和孔隙率而增加,这可能是岩性和液体含量的差异。本研究中获得的地热梯度,热通量和导热率的估计值类似于该地区以前研究的结果以及世界其他被动大陆边缘。

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