中基性火山岩多种叠前反演算法对比、优选及应用——以查干花地区火石岭组为例

doi:10.13809/j.cnki.cn32-1825/te.2024.02.006

摘要/Abstract

摘要：

目前应用最广泛的叠前同时反演算法是基于各项同性水平介质的Zoeppritz方程近似表达式，但对于具有岩性横向变化快且纵向多期叠置特点的中基性火山岩储层，凝灰岩和沉凝灰岩具有相近的测井和地球物理响应，叠前同时反演在火山岩岩性、物性的区分上存在一定的局限性。通过褶积模型正演定性分析火山岩储层地震响应特征，井上岩石物理分析火山岩储层岩性、物性敏感参数，通过模型试算和实际数据计算对比分析6种Zoeppritz方程近似的二项式和三项式叠前反演算法在该地区的适用性，从而优选出SMITH & GIDLOW, FATTI近似算法，输入纵波阻抗、横波阻抗和密度的反射系数进行叠前反演，应用叠前纵波阻抗反演结果对该地区凝灰岩进行预测，应用叠前密度反演结果对有效储层物性进行预测。支撑部署1口评价井，预测符合率为76.0%，部署1口水平井，预测符合率为84.6%，均获得工业气流。

关键词: 叠前反演, 火山岩, 地震响应, 岩石物理, 物性预测

Abstract:

Currently, the most widely used pre-stack simultaneous inversion algorithm is based on the Zoeppritz equation approximation of isotropic horizontal media. This method, however, encounters challenges in medium-basic volcanic reservoirs characterized by rapid lateral lithological changes and vertical multi-period stacking. In such environments, tuffs and sedimentary tuffs exhibit similar logging and geophysical responses, complicating the distinction of lithology and physical properties of volcanic rocks through pre-stack simultaneous inversion. To address these challenges, qualitative analyses were conducted on the seismic response characteristics of volcanic reservoirs using convolutional model forward modeling. Additionally, well rock physics was employed for physical analyses of lithology and sensitive parameters pertinent to volcanic reservoirs. Comparative analyses of six binomial and trinomial pre-stack inverse algorithms, aimed at approximating the Zoeppritz equation in the specific area, were conducted through model calculations and actual data assessments. Based on these comprehensive analyses, the approximate algorithms developed by SMITH & GIDLOW and FATTI were identified as preferable choices. These algorithms use the reflection coefficients of P-wave impedance, S-wave impedance, and density as inputs for pre-stack inversion. The inversion results for P-wave impedance were utilized to predict the presence of local tuff, while the inversion outcomes for density were employed to ascertain the effective reservoir physical properties. The efficacy of this approach was validated through the deployment of an evaluation well and a horizontal well, which yielded predicted compliance rates of 76.0% and 84.6%, respectively.

Key words: pre-stack inversion, volcanic rock, seismic response, rock petrophysic, petrophysical property prediction

中图分类号:

TE122

李瑞磊,曹磊,樊薛沛等. 中基性火山岩多种叠前反演算法对比、优选及应用——以查干花地区火石岭组为例[J]. 油气藏评价与开发, 2024, 14(2): 207-215.

Ruilei LI,Lei CAO,Xuepei FAN, et al. Comparison, optimization and application of multiple prestack inversion algorithm for intermediate basic volcanic reservoirs: A case study of Huoshiling Formation in Chaganhua area[J]. Petroleum Reservoir Evaluation and Development, 2024, 14(2): 207-215.

图/表 10

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表1

反演算法对应参数"

序号	反演算法	R₁	R₂	R₃	a	b	c
1	AKI-RICHARDS	$R V P$	$R V S$	R_ρ	$s e c 2 θ$	$- 8 K s i n 2 θ$	$1 - 4 K s i n 2 θ$
2	Amendment by WIGGINS	R_AI	R_GI	$R V P$	1	$s i n 2 θ$	$s i n 2 θ t a n 2 θ$
3	SMITH & GIDLOW, FATTI	R_AI	R_SI	R_ρ	$s e c 2 θ$	$- 8 K s i n 2 θ$	$4 K s i n 2 θ - t a n 2 θ$
4	GRAY Lambda	R_λ	R_μ	R_ρ	$(12 - K) s e c 2 θ$	$K (s e c 2 θ - 4 s i n 2 θ)$	$1 - 12 s e c 2 θ$
5	GRAY Bulk	R_κ	R_μ	R_ρ	$(12 - 23 K) s e c 2 θ$	$K (23 s e c 2 θ - 4 s i n 2 θ)$	$1 - 12 s e c 2 θ$
6	Modified SHUEY	R_AI	$R V P / V S$	R_ρ	$s e c 2 θ - 8 K s i n 2 θ$	$8 K s i n 2 θ$	$4 K s i n 2 θ - t a n 2 θ$

表1

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