Fuzzy MCDM-based GIS model for subsea oil pipeline route optimization: An integrated approach

Proper pipeline route selection is an integral component of a typical oil exploration and transportation project. Improperly selected routes could have severe consequences including pipe failures, oil spillage, and environmental disasters. Consequently, technologies like geographic information systems (GIS) are increasingly being used to facilitate the oil pipeline route selection procedure—especially for onshore routing projects. Surprisingly, not much has been documented on the application of GIS to offshore pipeline routing. With recent discoveries on the merits of offshore oil exploration, it is necessary to extend the analytical capabilities of GIS to the unique offshore domain. However, concerns have been raised regarding the limitations of GIS in accurately prioritizing diverse selection criteria in typical multi-criteria decision-making (MCDM) problems like route selection. Consequently, this paper addresses the offshore/subsea pipeline routing constraint using a hybrid decision support system (DSS), which integrates a GIS and fuzzy logic-based approximate reasoning (AR) models for optimal performance. The resultant spatial decision support system (SDSS) was successfully applied to a case study in Malaysia. The AR algorithm calculated the significance level of the multiple criteria using various fuzzy linguistic variables and membership functions. The aggregated priority ranking from different pipeline routing experts showed that the overall influence of the environmental criteria (61.4%) significantly exceeded that of other equally important criteria in the study area. These rankings were inputted into the SDSS to simulate various probable routes. Final results accurately highlighted an optimal route, which places a premium on the protection of environmental features in the subsea study area—in alignment with the preferences of majority of the experts.     

Identifying Rocky Seabed Using GIS-Modeled Predictor Variables

Mapping the seabed along the Norwegian coast is costly and time consuming. Hence, finding a modeling method to separate rocky seabed from other substrate types will provide digital maps that may be used to develop cost-effective sampling designs to predict species and habitat distribution. Our approach was to use geophysical data that were quantitative and objectively defined, generalized additive models (GAMs), and Akaike information criterion (AIC) to develop statistical models and select among them. We found that slope, terrain curvature, wave exposure, and depth predicted rocky seabed occurrence with a high degree of certainty.     

A predictive numerical model for potential mapping of the gas hydrate stability zone in the Gulf of Cadiz

This paper presents a computational model for mapping the regional 3D distribution in which seafloor gas hydrates would be stable, that is carried out in a Geographical Information System (GIS) environment. The construction of the model is comprised of three primary steps, namely: (1) the construction of surfaces for the various variables based on available 3D data (seafloor temperature, geothermal gradient and depth-pressure); (2) the calculation of the gas function equilibrium functions for the various hydrocarbon compositions reported from hydrate and sediment samples; and (3) the calculation of the thickness of the hydrate stability zone. The solution is based on a transcendental function, which is solved iteratively in a GIS environment.The model has been applied in the northernmost continental slope of the Gulf of Cadiz, an area where an abundant supply for hydrate formation, such as extensive hydrocarbon seeps, diapirs and fault structures, is combined with deep undercurrents and a complex seafloor morphology. In the Gulf of Cadiz, the model depicts the distribution of the base of the gas hydrate stability zone for both biogenic and thermogenic gas compositions, and explains the geometry and distribution of geological structures derived from gas venting in the Tasyo Field (Gulf of Cadiz) and the generation of BSR levels on the upper continental slope.     

基于GIS的宁波市海洋专题保障预报综合信息服务平台开发与应用

利用GIS地理信息系统、网络数据库等技术,设计开发一个集港口码头潮汐潮流精细化预报、海上搜救辅助决策、海上溢油及化学品漂移扩散辅助决策、海洋环境预警预报等功能于一体的宁波市海洋专题保障预报综合信息服务平台,为宁波涉海涉渔部门提供精准直观、灵活多样的各项专题海洋预报产品,更好地服务宁波市海洋经济的发展,提升地方政府海上突发事件应急能力。     

JGN型耐高温建筑结构胶抗震加固性能研究

为有效增强建筑结构的抗震性能、提高建筑抗震水平,对JGN型耐高温建筑结构胶抗震加固性能展开研究。将高活性酚醛胺(T－31)作为主固化剂、聚酰胺树脂(PA)为辅助固化剂,结合气相白炭黑、超细石英砂、石棉纤维、纳米材料、环氧树脂等材料,制备JGN型耐高温建筑结构胶。在高温环境下,使用万能试验机分析不同配比条件对结构胶抗震加固性能的影响。测试主要以拉伸强度、压缩强度以及压缩弹性模量为指标。测试结果表明：当固化剂质量比为45∶15、气相白炭黑掺量为4.5%、超细石英砂掺量为10%、石棉纤维掺量为10.5%、纳米SiO₂掺量为3.5%、纳米CaCO₃掺量为2.5%时,JGN型耐高温建筑结构胶的拉伸强度和压缩强度更大,压缩弹性模量得到优化,结构胶的抗震加固性能达到最佳状态。     

MapX与Oracle Spatial技术集成应用--以青岛海岸带地质信息系统开发为例

介绍了“青岛市海岸带地质信息系统”开发研制的关键技术。运用Mapinfo软件及其拓展组件MapX作为系统GIS开发平台,Oracle Spatial作为数据库技术平台,Visual Basic作为二次开发工具,将GIS的空间分析、可视化查询和Oracle数据管理功能有机集成,开发出具有空间数据库和空间分析功能兼备的信息应用系统。上述技术也可在其它领域推广应用。     

基于CCGIS的三维城市模璎数据生产

立足于生产实际阐述了一种基于CCGIS的三维城市生产工艺,重点说明了三维城市模型数据生产流程和控制,并结合恩施三维信息查询系统为例对该生产工艺进行验证。     

基于GIS的镇巴县耕地质量分等定级

以2010年镇巴县土地利用数据库为基础数据,在对已有的农用地分等工作确定的相关参数、分等因素及其权重分析论证的基础上,利用GIS空间分析技术,采用多因素综合分析法,对耕地质量等级评价指标信息值进行补充和完善,确定镇巴县耕地质量等级,为镇巴县农用地质量动态监测提供决策依据.     

基于GIS的油田数字化管道的实现

全国油田都在进行一场"数字油田"的革命,而数字化管道又是其中的一个重要环节.本文与油田实际相结合,基于MAPGIS进行二次开发,论述了数字化管道实现的基本理论.