litho-porosity crossplot

简明释义

1. 岩性—孔隙度交会图; 2. 岩性—孔隙度交会图测井;

英英释义

例句

1.In the meeting, we discussed how the litho-porosity crossplot could help in predicting fluid behavior in the reservoir.

在会议上，我们讨论了如何利用岩性-孔隙度交叉图来预测储层中的流体行为。

2.The geologist presented a detailed analysis using a litho-porosity crossplot to identify reservoir quality.

地质学家使用一个详细的分析，利用岩性-孔隙度交叉图来识别储层质量。

3.The litho-porosity crossplot revealed a strong correlation between rock type and porosity levels.

该岩性-孔隙度交叉图揭示了岩石类型与孔隙度水平之间的强相关性。

4.The interpretation of the litho-porosity crossplot indicated potential zones for hydrocarbon accumulation.

对岩性-孔隙度交叉图的解释表明了碳氢化合物聚集的潜在区域。

5.Using a litho-porosity crossplot, we were able to classify different lithologies in the core samples.

通过使用岩性-孔隙度交叉图，我们能够对岩心样本中的不同岩性进行分类。

作文

In the field of geology and petrophysics, understanding the properties of rocks is essential for various applications, including oil and gas exploration, groundwater studies, and environmental assessments. One of the key concepts in this area is the relationship between lithology and porosity, which can be effectively analyzed using a technique known as a litho-porosity crossplot. This method allows geoscientists to visualize and interpret data regarding rock types and their associated pore spaces, leading to more informed decisions in resource management.The term 'lithology' refers to the physical and chemical characteristics of rocks, such as mineral composition, grain size, and texture. Porosity, on the other hand, is a measure of the void spaces within a rock, which can affect its ability to store fluids like water, oil, or gas. By plotting these two variables against each other, a litho-porosity crossplot provides a graphical representation that helps identify patterns and correlations between different rock types and their porosity levels.To create a litho-porosity crossplot, data is collected from core samples or well logs. The lithological information is typically represented on one axis, while porosity values are plotted on the other. This creates a scatter plot where each point corresponds to a specific rock sample. Geoscientists can then analyze the distribution of these points to determine how different lithologies relate to porosity.One significant advantage of using a litho-porosity crossplot is its ability to differentiate between various rock types based on their porosity characteristics. For instance, sandstone may exhibit high porosity compared to shale, which typically has lower porosity due to its compact nature. By visualizing these differences, geologists can make predictions about fluid flow and storage capacity in subsurface formations.Moreover, the litho-porosity crossplot can also aid in identifying trends or anomalies within the data. For example, if a cluster of points representing a particular lithology shows unexpectedly high porosity, it may indicate the presence of fractures or other geological features that enhance fluid movement. Conversely, a lack of expected porosity in a certain lithology may prompt further investigation into the geological history of the area.In addition to its practical applications in resource exploration, the litho-porosity crossplot serves as an educational tool for students and professionals alike. It fosters a deeper understanding of the complex relationships between rock types and their physical properties, which is crucial for effective decision-making in geoscience.In conclusion, the litho-porosity crossplot is a valuable technique in the study of geology and petrophysics. By providing a clear visualization of the relationship between lithology and porosity, it enables geoscientists to make more accurate assessments of subsurface formations. This method not only enhances our understanding of geological processes but also plays a critical role in the sustainable management of natural resources. As technology continues to advance, the importance of tools like the litho-porosity crossplot will only grow, paving the way for new discoveries and innovations in the field.

在地质学和岩石物理学领域，理解岩石的特性对于石油和天然气勘探、地下水研究以及环境评估等各种应用至关重要。其中一个关键概念是岩石类型与孔隙度之间的关系，这可以通过一种称为岩石-孔隙度交叉图的技术有效分析。这种方法使地球科学家能够可视化和解释有关岩石类型及其相关孔隙空间的数据，从而在资源管理中做出更明智的决策。“岩石学”一词指的是岩石的物理和化学特征，如矿物成分、颗粒大小和纹理。另一方面，孔隙度是岩石内空隙的度量，这可能会影响其储存水、石油或天然气等流体的能力。通过将这两个变量相互绘制，岩石-孔隙度交叉图提供了一个图形化表示，帮助识别不同岩石类型及其孔隙度水平之间的模式和关联。要创建岩石-孔隙度交叉图，需要从岩心样本或井日志中收集数据。岩石学信息通常在一个轴上表示，而孔隙度值则绘制在另一个轴上。这创建了一个散点图，其中每个点对应于特定的岩石样本。地球科学家可以分析这些点的分布，以确定不同岩石类型与孔隙度之间的关系。使用岩石-孔隙度交叉图的一个显著优势是能够根据孔隙度特征区分各种岩石类型。例如，与通常由于其紧凑性质而具有较低孔隙度的页岩相比，砂岩可能表现出较高的孔隙度。通过可视化这些差异，地质学家可以预测地下构造中的流体流动和储存能力。此外，岩石-孔隙度交叉图还可以帮助识别数据中的趋势或异常。例如，如果一组代表特定岩石类型的点显示出意外的高孔隙度，这可能表明存在增强流体运动的裂缝或其他地质特征。相反，在某种岩石类型中缺乏预期的孔隙度可能促使进一步调查该地区的地质历史。除了在资源勘探中的实际应用外，岩石-孔隙度交叉图还作为学生和专业人士的教育工具。它促进了对岩石类型与其物理特性之间复杂关系的深入理解，这对地球科学中的有效决策至关重要。总之，岩石-孔隙度交叉图是研究地质学和岩石物理学的一种宝贵技术。通过提供岩石学与孔隙度之间关系的清晰可视化，它使地球科学家能够更准确地评估地下构造。这种方法不仅增强了我们对地质过程的理解，而且在可持续管理自然资源中发挥了关键作用。随着技术的不断进步，像岩石-孔隙度交叉图这样的工具的重要性只会增加，为该领域的新发现和创新铺平道路。