Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis

  • سال انتشار: 1394
  • محل انتشار: مجله بین المللی معدن و مهندسی زمین، دوره: 49، شماره: 1
  • کد COI اختصاصی: JR_IJMGE-49-1_012
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 659
دانلود فایل این مقاله

نویسندگان

Moslem Moradi

Simulation and Data Processing Laboratory, Mining Engineering Department, University of Tehran, Iran

Omid Asghari

Simulation and Data Processing Laboratory, Mining Engineering Department, University of Tehran, Iran

Gholamhossein Norouzi

Simulation and Data Processing Laboratory, Mining Engineering Department, University of Tehran, Iran

Mohammad Ali Riahi

Institute of Geophysics, University of Tehran, Iran

چکیده

Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. This method integrates information from different data sources with different scales, as prior information in Bayesian statistics. Data integration leads to a probability density function (named as a posteriori probability) that can yield a model of subsurface. The Markov Chain Monte Carlo (MCMC) method is used to sample the posterior probability distribution, and the subsurface model characteristics can be extracted by analyzing a set of the samples. In this study, the theory of stochastic seismic inversion in a Bayesian framework was described and applied to infer P-impedance and porosity models. The comparison between the stochastic seismic inversion and the deterministic model based seismic inversion indicates that the stochastic seismic inversion can provide more detailed information of subsurface character. Since multiple realizations are extracted by this method, an estimation of pore volume and uncertainty in the estimation were analyzed.

کلیدواژه ها

Bayesian theory, geostatistics, stochastic seismic inversion, uncertainty

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.