最近在现场应用中报道了瑞利频移分布式应变传感（RFS-DSS）和压力计测量的结合。整篇论文中详述的研究的主要目的是研究各种裂缝性油藏条件下应变变化和压力变化之间的关系，并为更好地利用这种新颖的应变/压力关系来估计传导裂缝和压力剖面提供指导。
RFS-DSS 的空间分辨率为 20 cm，灵敏度小于 1με，可以测量沿光纤的机械应变变化，比低频分布式声学传感测量具有更高的精度和灵敏度。RFS-SS的现场应用提高了人们对非常规油藏近井和远场裂缝特征以及增产与生产关系的认识。
尽管已经进行了一些数值建模工作来研究 RFS-DSS 数据集的机制，但沿纤维的应变变化和压力变化之间关系的敏感性或影响因素仍不清楚。
在这项工作中，作者使用耦合地质力学和流体流动模拟器来模拟稳定生产和关井期间沿生产井和监测井测量的应变变化和压力变化。
利用二叠纪盆地数据集创建了尺寸为 300×400×55.82 m 的 3D 多层油藏模型。将储层离散化为553×129×5的网格块。
The combination of Rayleigh frequency shift distributed strain sensing (RFS-DSS) and pressure-gauge measurements has been reported recently in field applications. The main objective of the study detailed in the complete paper is to investigate the relationship between strain change and pressure change under various fractured reservoir conditions and provide guidelines for better using this novel strain/pressure relationship to estimate conductive fractures and pressure profiles.
With a spatial resolution of 20 cm and a sensitivity of less than 1 με, RFS-DSS can measure mechanical strain changes along the fiber with higher accuracy and sensitivity than low-frequency distributed acoustic sensing measurements. The field applications of RFS‑DSS have improved the understanding of near‑well and far-field fracture characteristics and the relationship between stimulation and production in unconventional reservoirs.
Although some numerical modeling works have been conducted to study the mechanisms of RFS-DSS data sets, the sensitivity, or influencing factors, of the relationship between strain change and pressure change along the fiber are still unclear.
In this work, the authors use a coupled geomechanics and fluid-flow simulator to simulate the strain change and pressure change measured along the producing and monitoring wells during both stable production and shut-in periods.
A 3D multilayer reservoir model with dimensions of 300×400×55.82 m was created using Permian Basin data sets. The reservoir was discretized into 553×129×5 gridblocks.
