With the depletion of oil and gas resources and increasing exploration difficulty, dynamic well inclination measurement has become increasingly important. Near-bit dynamic well inclination measurement can improve borehole trajectory calculation accuracy and drilling efficiency. However, when the well inclination measurement module is installed eccentrically, installation errors are easily introduced. Additionally, during drill collar rotation, all three-axis accelerations are affected by centrifugal acceleration. These factors collectively impact the accuracy of well inclination measurement. Current dynamic well inclination measurement methods primarily focus on extracting gravitational acceleration while often neglecting the influence of installation errors on gravitational acceleration. In this paper, a triaxial-acceleration well inclination measurement module based on a single quartz flexure accelerometer and a dual-axis MEMS accelerometer is designed. The scale factor, zero bias, and non-orthogonal angle of the triaxial acceleration are calibrated using a hybrid ellipsoid and Levenberg–Marquardt method. A self-calibration algorithm for static and dynamic well inclination measurements based on multivariate linear regression is proposed, which simultaneously solves for installation errors and actual well inclination. The installation-error calibration was independently verified against a calibrated standard high-precision three-axis turntable (±0.01°), with an inclination error below 0.1° at nominal inclinations ranging from 0° to 90°. In the rotational tests, covering inclinations ranging from 5.36° to 89.64° and rotational speeds in the range of 30–150 r/min, the well inclination error is within ±0.18°. Field test results show that the near-bit inclination follows the same trend as the MWD survey, with a mean absolute error of about 0.2°.

Tuffaceous fillings are a significant component of the Permian Kuishan sandstone in the North China Platform, and their complex diagenetic processes have a notable impact on the development of clastic rock reservoirs. This study, based on microscopic analysis of reservoirs and combined with quantitative analytical techniques such as electron probe microanalysis, homogenization temperatures of fluid inclusions, micro-area carbon-oxygen isotope analysis, and laser Raman spectroscopy, investigates the influence of tuffaceous interstitial material dissolution on reservoir development in the Permian Kuishan sandstone of the Gaoqing buried hill in the Jiyang Depression, Bohai Bay Basin. The results indicate that the dissolution intensity of tuffaceous interstitial materials can be classified into three levels: strong, moderate, and weak. In the strong dissolution zone, associated fractures and dissolution pores significantly contribute to reservoir porosity, with a positive correlation between dissolution plane porosity and total plane porosity. The reservoir space is characterized by a network of dissolution pores and fractures. The moderate dissolution zone is marked by the development of authigenic quartz, feldspar, and clay minerals, which do not effectively enhance porosity and permeability. The weak dissolution zone contains well-preserved volcanic glass shards, crystal fragments, and clay minerals, representing non-reservoir development sections. Lithology, sedimentary facies, diagenesis, and fractures collectively control the quality of the Permian Kuishan sandstone reservoir in the Gaoqing buried hill of the Jiyang Depression, Bohai Bay Basin. The advantageous zones for reservoir development in this area can be effectively predicted using thickness maps of the Kuishan sandstone, planar distribution maps of sedimentary facies, and fracture prediction maps derived from ant-tracking and coherence algorithms.