Simultaneous correlation of multiple well logs

نویسندگان

  • Loralee Wheeler
  • Dave Hale
چکیده

Well log correlation is an important step in geophysical interpretation, but as the number of wells increases, so does the complexity of the correlation process. We propose a new method for automatic and simultaneous well log correlation that provides a globally optimal alignment of all logs, and in addition, is relatively insensitive to large measurement errors common in well logs. First, for any number of well logs, we use a new variant of the dynamic warping method, requiring no prior geologic information, to find for each pair of logs a set of corresponding depths. Depths in one log may have one or more corresponding depths in another log, and many such pairs of corresponding depths can be found for any pair of well logs. Requiring consistency among all such pair-wise correlations gives rise to an overdetermined system of linear equations, with unknown depth shifts to be computed for each log sample. A least-squares solution of these equations, found using the conjugate gradient method, yields for every well log a sequence of depth shifts that optimally align all well logs.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Estimation of Total Organic Carbon from well logs and seismic sections via neural network and ant colony optimization approach: a case study from the Mansuri oil field, SW Iran

In this paper, 2D seismic data and petrophysical logs of the Pabdeh Formation from four wells of the Mansuri oil field are utilized. ΔLog R method was used to generate a continuous TOC log from petrophysical data. The calculated TOC values by ΔLog R method, used for a multi-attribute seismic analysis. In this study, seismic inversion was performed based on neural networks algorithm and the resu...

متن کامل

Development of an Intelligent System to Synthesize Petrophysical Well Logs

Porosity is one of the fundamental petrophysical properties that should be evaluated for hydrocarbon bearing reservoirs. It is a vital factor in precise understanding of reservoir quality in a hydrocarbon field. Log data are exceedingly crucial information in petroleum industries, for many of hydrocarbon parameters are obtained by virtue of petrophysical data. There are three main petrophysical...

متن کامل

Simultaneous multiple well-seismic ties using flattened synthetic and real seismograms

Well-seismic ties allow rock properties measured at well locations to be compared to seismic data, and therefore are useful for seismic interpretation. Numerous methods have been proposed to compute well-seismic ties by correlating real seismograms with synthetic seismograms computed from velocity and density logs. However, most methods tie multiple wells to seismic data one-by-one, and therefo...

متن کامل

Inference o f Ground Surface Temperature History from Subsurface Temperature Data: Interpreting Ensembles o f Borehole Logs

Abs t rac t -Ground surface temperature histories (GSTHs) inferred from borehole temperaturedepth (T-z) data are often degraded, to a various extent, by random or systematic noise in the T-z data and in the measurements of thermophysical properties of the earth. To minimize the effects of noise, and hence improve the fidelity of the inferred GSTH, a plausible approach is to perform a simultaneo...

متن کامل

Gaseous Reservoir Horizons Determination via Vp/Vs and Q-Factor Data, Kangan-Dalan Formations, in One of SW Iranian hydrocarbon Fields

An important method in oil and gas exploration is vertical seismic profile (VSP) to estimate rock properties in drilling well. Quality factor is also the crucial point of seismic attenuate in VSP data. In the present study, this factor was used to evaluate the hydrocarbon potential of Kangan Formation in one of the Persian Gulf oil fields using VSP zero offset method. Quality factor was estimat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014