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Featured researches published by Yingping Li.


Interpretation | 2015

Dual-well 3D vertical seismic profile enabled by distributed acoustic sensing in deepwater Gulf of Mexico

Han Wu; Wai-Fan Wong; Zhaohui Yang; Peter Wills; Jorge Lopez; Yingping Li; Bastian Blonk; Ben Hewett; Albena Mateeva

AbstractWe have acquired and processed 3D vertical seismic profile (VSP) data recorded simultaneously in two wells using distributed acoustic sensing (DAS) during the acquisition of the 2012 Mars 4D ocean-bottom seismic survey in the deepwater Gulf of Mexico. The objectives of the project were to assess the quality of DAS data recorded in fiber-optic cables from the surface to the total depth, to demonstrate the efficacy of the DAS VSP technology in a deepwater environment, to derisk the use of the technology for future water injection or production monitoring without intervention, and to exploit the velocity information that 3D VSP data provide for evaluating and updating the velocity model. We evaluated the advantages of DAS VSP to reduce costs and intrusiveness, and we determined that high-quality images can be obtained from relatively noisy raw 3D DAS VSP data, as evidenced by the well 1 image, probably the best 3D VSP image we have ever seen. Our results also revealed that the direct arrival travelti...


Geophysical Prospecting | 2014

Borehole seismic quantitative diagnosis of a seismic velocity model for 3D seismic imaging of subsurface structures

Yingping Li; Ben Hewett

ABSTRACT Quantifying uncertainties of surface seismic velocity models is a difficult task. The use of multifarious vertical seismic profiling data provides quantification of velocity model uncertainties. Two borehole seismic diagnosis methods for velocity model uncertainties are developed. The first method is performed with 3D ray‐traced first arrival times through a surface seismic velocity model and compared with measured first arrival times from downhole receivers. It generates a profile of absolute and relative misfits, indicating the velocity uncertainty as a function of depth. The second approach directly compares the differences between the first arrival incident angles measured from 3‐C borehole seismic data and the calculated first arrival incident angles of seismic rays through the velocity model to quantify the model uncertainties. Five seismic velocity models in the Gulf of Mexico are diagnosed using the diagnosis methods with up to six sets of borehole seismic data recorded in three wells. The uncertainty profiles vary with depths and azimuths, revealing the complexity of velocity model uncertainties and providing some clues for further velocity updating. The diagnosis methods are used as velocity updating QC tools and integrated with the conventional seismic velocity updating flow to complement the criteria of flat common image gathers.


Interpretation | 2016

Measurement of seawater average velocity using water bottom multiples from vertical seismic profile surveys

Yingping Li; Ben Hewett

AbstractPrevious diagnoses of surface seismic velocity models with vertical seismic profile (VSP) data in the Gulf of Mexico have indicated that shallow velocities were poorly constrained by VSP due to ringing caused by multiple casing strings. This ringing also hampered direct measurement of the seawater average velocity (SWAV) at a rig site with direct arrivals of a zero-offset VSP (ZVSP). We have directly measured the SWAV at a rig site with a known water depth by using differential times between primary water bottom multiples (WBMs) and direct first arrivals acquired in a marine VSP survey. We developed a procedure to process ZVSP-WBM signals for SWAV measurement. This WBM method is successfully applied to VSP data recorded at 27 rig sites in the deep-water environments of North and South America. Our results suggest that VSP processors should implement this method and add the SWAV measurement in their future velocity survey reports. We have estimated water bottom depths using differential times. We f...


First Break | 2016

Reflection salt proximity

Yingpin Li; Ben Hewett; Yingping Li

Knowledge of salt boundary locations at the salt flanks and base is critically important for updating velocity models, getting better sub-surface images, estimating a reservoir size, and minimizing drilling risks for exploration and development wells in and near the salt. We have developed a Reflection Salt Proximity method to delineate the salt-sediment boundary. This method utilizes the reflected P waves off the salt face to calculate the Salt Reflection Points by measuring arrival times, azimuths, and vertical angles of the reflected PP waves with a sediment velocity model. This approach is complementary to the salt proximity migration, sediment proximity, and conventional salt proximity methods. An example in the Gulf of Mexico is used to demonstrate the method and to present the calculated salt reflection points, which are consistent with those results obtained from the conventional salt proximity surveys.


Seg Technical Program Expanded Abstracts | 2015

Velocity Analysis and Update with 3D DAS-VSP to Improve Borehole/Surface Seismic Images

Yingping Li; Han Wu; W. Wong; Ben Hewett; Z. Liu; Albena Mateeva; Jorge Lopez


Seg Technical Program Expanded Abstracts | 2006

Imaging of Steep Salt Face And Surrounding Sediments Using Vertical Seismic Profile (VSP) Converted Waves

Xiaomin Zhao; Fran Doherty; Yingping Li


Seg Technical Program Expanded Abstracts | 2012

Offset VSP P wave and converted S wave Salt Proximity Migration Study

Han Wu; Yingping Li; Ben Hewett


Seg Technical Program Expanded Abstracts | 2018

Diagnosing Azimuthal Variations of Velocity Model Uncertainties using 3D DAS-VSP in GOM

Yingping Li; W. Wong; T. Chen; Kevin King; Han Wu


Seg Technical Program Expanded Abstracts | 2016

Monitoring variations of seawater average velocity by using WBM from 4-C–4D OBS in GOM

Yingping Li; Kevin King; Tianrun Chen


Seg Technical Program Expanded Abstracts | 2015

Measurement of Seawater Average Velocity using Water Bottom Multiples from VSP Surveys

Yingping Li; Ben Hewett

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